The cl-online-learning Reference Manual

4.1.1 cl-online-learning/cl-online-learning.asd

Source

cl-online-learning.asd.

Parent Component

cl-online-learning (system).

ASDF Systems

cl-online-learning.

Packages

cl-online-learning-asd.

---

4.1.2 cl-online-learning/src/vector.lisp

Source

cl-online-learning.asd.

Parent Component

src (module).

Packages

cl-online-learning.vector.

Public Interface

• dosvec (macro).
• dot (function).
• dot! (function).
• dovec (macro).
• dps-v* (function).
• dps-v+ (function).
• dps-v- (function).
• ds-dot (function).
• ds-dot! (function).
• ds-v* (function).
• ds-v+ (function).
• ds-v- (function).
• ds-v/ (function).
• ds2s-v* (function).
• make-empty-sparse-vector (function).
• make-sparse-vector (function).
• make-vec (function).
• ps-v*n (function).
• s-v*n (function).
• sparse-vector (structure).
• sparse-vector-index-vector (reader).
• (setf sparse-vector-index-vector) (writer).
• sparse-vector-length (reader).
• (setf sparse-vector-length) (writer).
• sparse-vector-value-vector (reader).
• (setf sparse-vector-value-vector) (writer).
• sps-v*n (function).
• v* (function).
• v*n (function).
• v+ (function).
• v+n (function).
• v- (function).
• v-sqrt (function).
• v/ (function).

Internals

• %make-sparse-vector (function).
• copy-sparse-vector (function).
• sparse-vector-p (function).

---

4.1.3 cl-online-learning/src/utils.lisp

Dependency

vector.lisp (file).

Source

cl-online-learning.asd.

Parent Component

src (module).

Packages

cl-online-learning.utils.

Public Interface

• class-min/max (function).
• defmain (macro).
• read-data (function).
• shuffle-vector (function).
• to-float (function).
• to-int (function).

Internals

• arg-list->lambda-arg (function).
• argument-error (condition).
• argument-error-message (reader method).
• (setf argument-error-message) (writer method).
• doseq (macro).
• flatten (function).
• group-arg-list (function).
• mean-vector (function).
• read-datum (function).
• read-datum-sparse (function).
• sanity-check (function).
• split-lambda-list (function).
• standard-deviation-vector (function).

---

4.1.4 cl-online-learning/src/cl-online-learning.lisp

Dependency

vector.lisp (file).

Source

cl-online-learning.asd.

Parent Component

src (module).

Packages

cl-online-learning.

Public Interface

• arow-predict (function).
• arow-test (function).
• arow-train (function).
• arow-update (function).
• dim-of (function).
• lr+adam-predict (function).
• lr+adam-test (function).
• lr+adam-train (function).
• lr+adam-update (function).
• lr+sgd-predict (function).
• lr+sgd-test (function).
• lr+sgd-train (function).
• lr+sgd-update (function).
• make-arow (function).
• make-lr+adam (function).
• make-lr+sgd (function).
• make-one-vs-one (function).
• make-one-vs-rest (function).
• make-perceptron (function).
• make-scw (function).
• make-sparse-arow (function).
• make-sparse-lr+adam (function).
• make-sparse-lr+sgd (function).
• make-sparse-perceptron (function).
• make-sparse-scw (function).
• n-class-of (function).
• one-vs-one-predict (function).
• one-vs-one-test (function).
• one-vs-one-train (function).
• one-vs-one-update (function).
• one-vs-rest-predict (function).
• one-vs-rest-test (function).
• one-vs-rest-train (function).
• one-vs-rest-update (function).
• perceptron-predict (function).
• perceptron-test (function).
• perceptron-train (function).
• perceptron-update (function).
• print-object (method).
• print-object (method).
• print-object (method).
• print-object (method).
• print-object (method).
• print-object (method).
• print-object (method).
• print-object (method).
• print-object (method).
• print-object (method).
• restore (function).
• save (function).
• scw-predict (function).
• scw-test (function).
• scw-train (function).
• scw-update (function).
• sparse-arow-predict (function).
• sparse-arow-test (function).
• sparse-arow-train (function).
• sparse-arow-update (function).
• sparse-learner? (function).
• sparse-lr+adam-predict (function).
• sparse-lr+adam-test (function).
• sparse-lr+adam-train (function).
• sparse-lr+adam-update (function).
• sparse-lr+sgd-predict (function).
• sparse-lr+sgd-test (function).
• sparse-lr+sgd-train (function).
• sparse-lr+sgd-update (function).
• sparse-perceptron-predict (function).
• sparse-perceptron-test (function).
• sparse-perceptron-train (function).
• sparse-perceptron-update (function).
• sparse-scw-predict (function).
• sparse-scw-test (function).
• sparse-scw-train (function).
• sparse-scw-update (function).
• test (function).
• train (function).

Internals

• %make-arow (function).
• %make-lr+adam (function).
• %make-lr+sgd (function).
• %make-one-vs-one (function).
• %make-one-vs-rest (function).
• %make-perceptron (function).
• %make-scw (function).
• %make-sparse-arow (function).
• %make-sparse-lr+adam (function).
• %make-sparse-lr+sgd (function).
• %make-sparse-perceptron (function).
• %make-sparse-scw (function).
• %print-arow (function).
• %print-lr+adam (function).
• %print-one-vs-one (function).
• %print-one-vs-rest (function).
• %print-perceptron (function).
• %print-scw (function).
• %print-sparse-arow (function).
• %print-sparse-lr+adam (function).
• %print-sparse-perceptron (function).
• %print-sparse-scw (function).
• arow (structure).
• arow-bias (reader).
• (setf arow-bias) (writer).
• arow-gamma (reader).
• (setf arow-gamma) (writer).
• arow-input-dimension (reader).
• (setf arow-input-dimension) (writer).
• arow-p (function).
• arow-sigma (reader).
• (setf arow-sigma) (writer).
• arow-sigma0 (reader).
• (setf arow-sigma0) (writer).
• arow-tmp-float (reader).
• (setf arow-tmp-float) (writer).
• arow-tmp-vec1 (reader).
• (setf arow-tmp-vec1) (writer).
• arow-tmp-vec2 (reader).
• (setf arow-tmp-vec2) (writer).
• arow-weight (reader).
• (setf arow-weight) (writer).
• catstr (macro).
• copy-arow (function).
• copy-lr+adam (function).
• copy-lr+sgd (function).
• copy-one-vs-one (function).
• copy-one-vs-rest (function).
• copy-perceptron (function).
• copy-scw (function).
• copy-sparse-arow (function).
• copy-sparse-lr+adam (function).
• copy-sparse-lr+sgd (function).
• copy-sparse-perceptron (function).
• copy-sparse-scw (function).
• define-learner (macro).
• define-multi-class-learner-train/test-functions (macro).
• f (function).
• f! (function).
• function-by-name (macro).
• index-of-learner (function).
• inverse-erf (function).
• logistic-regression-gradient! (function).
• logistic-regression-gradient-sparse! (function).
• lr+adam (structure).
• lr+adam-alpha (reader).
• (setf lr+adam-alpha) (writer).
• lr+adam-beta1 (reader).
• (setf lr+adam-beta1) (writer).
• lr+adam-beta1^t (reader).
• (setf lr+adam-beta1^t) (writer).
• lr+adam-beta2 (reader).
• (setf lr+adam-beta2) (writer).
• lr+adam-beta2^t (reader).
• (setf lr+adam-beta2^t) (writer).
• lr+adam-bias (reader).
• (setf lr+adam-bias) (writer).
• lr+adam-c (reader).
• (setf lr+adam-c) (writer).
• lr+adam-epsilon (reader).
• (setf lr+adam-epsilon) (writer).
• lr+adam-g (reader).
• (setf lr+adam-g) (writer).
• lr+adam-input-dimension (reader).
• (setf lr+adam-input-dimension) (writer).
• lr+adam-m (reader).
• (setf lr+adam-m) (writer).
• lr+adam-m0 (reader).
• (setf lr+adam-m0) (writer).
• lr+adam-p (function).
• lr+adam-tmp-float (reader).
• (setf lr+adam-tmp-float) (writer).
• lr+adam-tmp-vec (reader).
• (setf lr+adam-tmp-vec) (writer).
• lr+adam-v (reader).
• (setf lr+adam-v) (writer).
• lr+adam-v0 (reader).
• (setf lr+adam-v0) (writer).
• lr+adam-weight (reader).
• (setf lr+adam-weight) (writer).
• lr+sgd (structure).
• lr+sgd-bias (reader).
• (setf lr+sgd-bias) (writer).
• lr+sgd-c (reader).
• (setf lr+sgd-c) (writer).
• lr+sgd-eta (reader).
• (setf lr+sgd-eta) (writer).
• lr+sgd-g (reader).
• (setf lr+sgd-g) (writer).
• lr+sgd-input-dimension (reader).
• (setf lr+sgd-input-dimension) (writer).
• lr+sgd-p (function).
• lr+sgd-tmp-float (reader).
• (setf lr+sgd-tmp-float) (writer).
• lr+sgd-tmp-vec (reader).
• (setf lr+sgd-tmp-vec) (writer).
• lr+sgd-weight (reader).
• (setf lr+sgd-weight) (writer).
• one-vs-one (structure).
• one-vs-one-clear-functions-for-store (function).
• one-vs-one-input-dimension (reader).
• (setf one-vs-one-input-dimension) (writer).
• one-vs-one-learner-predict (reader).
• (setf one-vs-one-learner-predict) (writer).
• one-vs-one-learner-update (reader).
• (setf one-vs-one-learner-update) (writer).
• one-vs-one-learners-vector (reader).
• (setf one-vs-one-learners-vector) (writer).
• one-vs-one-n-class (reader).
• (setf one-vs-one-n-class) (writer).
• one-vs-one-p (function).
• one-vs-one-restore-functions (function).
• one-vs-rest (structure).
• one-vs-rest-clear-functions-for-store (function).
• one-vs-rest-input-dimension (reader).
• (setf one-vs-rest-input-dimension) (writer).
• one-vs-rest-learner-activate (reader).
• (setf one-vs-rest-learner-activate) (writer).
• one-vs-rest-learner-bias (reader).
• (setf one-vs-rest-learner-bias) (writer).
• one-vs-rest-learner-update (reader).
• (setf one-vs-rest-learner-update) (writer).
• one-vs-rest-learner-weight (reader).
• (setf one-vs-rest-learner-weight) (writer).
• one-vs-rest-learners-vector (reader).
• (setf one-vs-rest-learners-vector) (writer).
• one-vs-rest-n-class (reader).
• (setf one-vs-rest-n-class) (writer).
• one-vs-rest-p (function).
• one-vs-rest-restore-functions (function).
• perceptron (structure).
• perceptron-bias (reader).
• (setf perceptron-bias) (writer).
• perceptron-input-dimension (reader).
• (setf perceptron-input-dimension) (writer).
• perceptron-p (function).
• perceptron-tmp-float (reader).
• (setf perceptron-tmp-float) (writer).
• perceptron-weight (reader).
• (setf perceptron-weight) (writer).
• probit (function).
• scw (structure).
• scw-bias (reader).
• (setf scw-bias) (writer).
• scw-c (reader).
• (setf scw-c) (writer).
• scw-eta (reader).
• (setf scw-eta) (writer).
• scw-input-dimension (reader).
• (setf scw-input-dimension) (writer).
• scw-p (function).
• scw-phi (reader).
• (setf scw-phi) (writer).
• scw-psi (reader).
• (setf scw-psi) (writer).
• scw-sigma (reader).
• (setf scw-sigma) (writer).
• scw-sigma0 (reader).
• (setf scw-sigma0) (writer).
• scw-tmp-float (reader).
• (setf scw-tmp-float) (writer).
• scw-tmp-vec1 (reader).
• (setf scw-tmp-vec1) (writer).
• scw-tmp-vec2 (reader).
• (setf scw-tmp-vec2) (writer).
• scw-weight (reader).
• (setf scw-weight) (writer).
• scw-zeta (reader).
• (setf scw-zeta) (writer).
• sf (function).
• sf! (function).
• sigmoid (macro).
• sign (function).
• sparse-arow (structure).
• sparse-arow-bias (reader).
• (setf sparse-arow-bias) (writer).
• sparse-arow-gamma (reader).
• (setf sparse-arow-gamma) (writer).
• sparse-arow-input-dimension (reader).
• (setf sparse-arow-input-dimension) (writer).
• sparse-arow-p (function).
• sparse-arow-sigma (reader).
• (setf sparse-arow-sigma) (writer).
• sparse-arow-sigma0 (reader).
• (setf sparse-arow-sigma0) (writer).
• sparse-arow-tmp-float (reader).
• (setf sparse-arow-tmp-float) (writer).
• sparse-arow-tmp-vec1 (reader).
• (setf sparse-arow-tmp-vec1) (writer).
• sparse-arow-tmp-vec2 (reader).
• (setf sparse-arow-tmp-vec2) (writer).
• sparse-arow-weight (reader).
• (setf sparse-arow-weight) (writer).
• sparse-lr+adam (structure).
• sparse-lr+adam-alpha (reader).
• (setf sparse-lr+adam-alpha) (writer).
• sparse-lr+adam-beta1 (reader).
• (setf sparse-lr+adam-beta1) (writer).
• sparse-lr+adam-beta1^t (reader).
• (setf sparse-lr+adam-beta1^t) (writer).
• sparse-lr+adam-beta2 (reader).
• (setf sparse-lr+adam-beta2) (writer).
• sparse-lr+adam-beta2^t (reader).
• (setf sparse-lr+adam-beta2^t) (writer).
• sparse-lr+adam-bias (reader).
• (setf sparse-lr+adam-bias) (writer).
• sparse-lr+adam-c (reader).
• (setf sparse-lr+adam-c) (writer).
• sparse-lr+adam-epsilon (reader).
• (setf sparse-lr+adam-epsilon) (writer).
• sparse-lr+adam-g (reader).
• (setf sparse-lr+adam-g) (writer).
• sparse-lr+adam-input-dimension (reader).
• (setf sparse-lr+adam-input-dimension) (writer).
• sparse-lr+adam-m (reader).
• (setf sparse-lr+adam-m) (writer).
• sparse-lr+adam-m0 (reader).
• (setf sparse-lr+adam-m0) (writer).
• sparse-lr+adam-p (function).
• sparse-lr+adam-tmp-float (reader).
• (setf sparse-lr+adam-tmp-float) (writer).
• sparse-lr+adam-tmp-vec (reader).
• (setf sparse-lr+adam-tmp-vec) (writer).
• sparse-lr+adam-v (reader).
• (setf sparse-lr+adam-v) (writer).
• sparse-lr+adam-v0 (reader).
• (setf sparse-lr+adam-v0) (writer).
• sparse-lr+adam-weight (reader).
• (setf sparse-lr+adam-weight) (writer).
• sparse-lr+sgd (structure).
• sparse-lr+sgd-bias (reader).
• (setf sparse-lr+sgd-bias) (writer).
• sparse-lr+sgd-c (reader).
• (setf sparse-lr+sgd-c) (writer).
• sparse-lr+sgd-eta (reader).
• (setf sparse-lr+sgd-eta) (writer).
• sparse-lr+sgd-g (reader).
• (setf sparse-lr+sgd-g) (writer).
• sparse-lr+sgd-input-dimension (reader).
• (setf sparse-lr+sgd-input-dimension) (writer).
• sparse-lr+sgd-p (function).
• sparse-lr+sgd-tmp-float (reader).
• (setf sparse-lr+sgd-tmp-float) (writer).
• sparse-lr+sgd-tmp-vec (reader).
• (setf sparse-lr+sgd-tmp-vec) (writer).
• sparse-lr+sgd-weight (reader).
• (setf sparse-lr+sgd-weight) (writer).
• sparse-perceptron (structure).
• sparse-perceptron-bias (reader).
• (setf sparse-perceptron-bias) (writer).
• sparse-perceptron-input-dimension (reader).
• (setf sparse-perceptron-input-dimension) (writer).
• sparse-perceptron-p (function).
• sparse-perceptron-tmp-float (reader).
• (setf sparse-perceptron-tmp-float) (writer).
• sparse-perceptron-weight (reader).
• (setf sparse-perceptron-weight) (writer).
• sparse-scw (structure).
• sparse-scw-bias (reader).
• (setf sparse-scw-bias) (writer).
• sparse-scw-c (reader).
• (setf sparse-scw-c) (writer).
• sparse-scw-eta (reader).
• (setf sparse-scw-eta) (writer).
• sparse-scw-input-dimension (reader).
• (setf sparse-scw-input-dimension) (writer).
• sparse-scw-p (function).
• sparse-scw-phi (reader).
• (setf sparse-scw-phi) (writer).
• sparse-scw-psi (reader).
• (setf sparse-scw-psi) (writer).
• sparse-scw-sigma (reader).
• (setf sparse-scw-sigma) (writer).
• sparse-scw-sigma0 (reader).
• (setf sparse-scw-sigma0) (writer).
• sparse-scw-tmp-float (reader).
• (setf sparse-scw-tmp-float) (writer).
• sparse-scw-tmp-vec1 (reader).
• (setf sparse-scw-tmp-vec1) (writer).
• sparse-scw-tmp-vec2 (reader).
• (setf sparse-scw-tmp-vec2) (writer).
• sparse-scw-weight (reader).
• (setf sparse-scw-weight) (writer).
• sparse-scw-zeta (reader).
• (setf sparse-scw-zeta) (writer).
• sparse-symbol? (function).
• sum-permutation (function).

---

4.1.5 cl-online-learning/src/rls.lisp

Dependencies

• vector.lisp (file).
• cl-online-learning.lisp (file).

Source

cl-online-learning.asd.

Parent Component

src (module).

Public Interface

• make-rls (function).
• make-sparse-rls (function).
• print-object (method).
• print-object (method).
• rls-predict (function).
• rls-test (function).
• rls-train (function).
• rls-update (function).
• sparse-rls-predict (function).
• sparse-rls-test (function).
• sparse-rls-train (function).
• sparse-rls-update (function).

Internals

• %make-rls (function).
• %make-sparse-rls (function).
• %print-rls (function).
• %print-sparse-rls (function).
• copy-rls (function).
• copy-sparse-rls (function).
• define-regression-learner (macro).
• rls (structure).
• rls-bias (reader).
• (setf rls-bias) (writer).
• rls-gamma (reader).
• (setf rls-gamma) (writer).
• rls-input-dimension (reader).
• (setf rls-input-dimension) (writer).
• rls-p (function).
• rls-sigma (reader).
• (setf rls-sigma) (writer).
• rls-sigma0 (reader).
• (setf rls-sigma0) (writer).
• rls-tmp-float (reader).
• (setf rls-tmp-float) (writer).
• rls-tmp-vec1 (reader).
• (setf rls-tmp-vec1) (writer).
• rls-tmp-vec2 (reader).
• (setf rls-tmp-vec2) (writer).
• rls-weight (reader).
• (setf rls-weight) (writer).
• sparse-rls (structure).
• sparse-rls-bias (reader).
• (setf sparse-rls-bias) (writer).
• sparse-rls-gamma (reader).
• (setf sparse-rls-gamma) (writer).
• sparse-rls-input-dimension (reader).
• (setf sparse-rls-input-dimension) (writer).
• sparse-rls-p (function).
• sparse-rls-sigma (reader).
• (setf sparse-rls-sigma) (writer).
• sparse-rls-sigma0 (reader).
• (setf sparse-rls-sigma0) (writer).
• sparse-rls-tmp-float (reader).
• (setf sparse-rls-tmp-float) (writer).
• sparse-rls-tmp-vec1 (reader).
• (setf sparse-rls-tmp-vec1) (writer).
• sparse-rls-tmp-vec2 (reader).
• (setf sparse-rls-tmp-vec2) (writer).
• sparse-rls-weight (reader).
• (setf sparse-rls-weight) (writer).

---

6.1.1 Macros

Macro: defmain (lambda-list &body body) ¶

Package

cl-online-learning.utils.

Source

utils.lisp.

Macro: dosvec (svec var &body body) ¶

Package

cl-online-learning.vector.

Source

vector.lisp.

Macro: dovec (vec var &body body) ¶

Package

cl-online-learning.vector.

Source

vector.lisp.

---

6.1.2 Ordinary functions

Function: arow-predict (learner input) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: arow-test (learner test-data &key quiet-p stream) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: arow-train (learner training-data) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: arow-update (learner input training-label) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: class-min/max (read-data-result) ¶

Package

cl-online-learning.utils.

Source

utils.lisp.

Function: dim-of (learner) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: dot (x y) ¶

Package

cl-online-learning.vector.

Source

vector.lisp.

Function: dot! (x y result) ¶

Package

cl-online-learning.vector.

Source

vector.lisp.

Function: dps-v* (dence-x pseudosparse-y index-vector result) ¶

Package

cl-online-learning.vector.

Source

vector.lisp.

Function: dps-v+ (dence-x pseudosparse-y index-vector result) ¶

Package

cl-online-learning.vector.

Source

vector.lisp.

Function: dps-v- (dence-x pseudosparse-y index-vector result) ¶

Package

cl-online-learning.vector.

Source

vector.lisp.

Function: ds-dot (dence-x sparse-y) ¶

Package

cl-online-learning.vector.

Source

vector.lisp.

Function: ds-dot! (dence-x sparse-y result) ¶

Package

cl-online-learning.vector.

Source

vector.lisp.

Function: ds-v* (dence-x sparse-y result) ¶

Package

cl-online-learning.vector.

Source

vector.lisp.

Function: ds-v+ (dence-x sparse-y result) ¶

Package

cl-online-learning.vector.

Source

vector.lisp.

Function: ds-v- (dence-x sparse-y result) ¶

Package

cl-online-learning.vector.

Source

vector.lisp.

Function: ds-v/ (dence-x sparse-y result) ¶

Package

cl-online-learning.vector.

Source

vector.lisp.

Function: ds2s-v* (dence-x sparse-y sparse-result) ¶

Package

cl-online-learning.vector.

Source

vector.lisp.

Function: lr+adam-predict (learner input) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: lr+adam-test (learner test-data &key quiet-p stream) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: lr+adam-train (learner training-data) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: lr+adam-update (learner input training-label) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: lr+sgd-predict (learner input) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: lr+sgd-test (learner test-data &key quiet-p stream) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: lr+sgd-train (learner training-data) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: lr+sgd-update (learner input training-label) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: make-arow (input-dimension gamma) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: make-empty-sparse-vector (sparse-dim) ¶

Package

cl-online-learning.vector.

Source

vector.lisp.

Function: make-lr+adam (input-dimension c alpha epsilon beta1 beta2) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: make-lr+sgd (input-dimension c eta) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: make-one-vs-one (input-dimension n-class learner-type &rest learner-params) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: make-one-vs-rest (input-dimension n-class learner-type &rest learner-params) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: make-perceptron (input-dimension) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: make-rls (input-dimension gamma) ¶

Package

cl-online-learning.

Source

rls.lisp.

Function: make-scw (input-dimension eta c) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: make-sparse-arow (input-dimension gamma) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: make-sparse-lr+adam (input-dimension c alpha epsilon beta1 beta2) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: make-sparse-lr+sgd (input-dimension c eta) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: make-sparse-perceptron (input-dimension) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: make-sparse-rls (input-dimension gamma) ¶

Package

cl-online-learning.

Source

rls.lisp.

Function: make-sparse-scw (input-dimension eta c) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: make-sparse-vector (index-vector value-vector) ¶

Package

cl-online-learning.vector.

Source

vector.lisp.

Function: make-vec (input-dimension initial-element) ¶

Package

cl-online-learning.vector.

Source

vector.lisp.

Function: n-class-of (learner) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: one-vs-one-predict (mulc input) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: one-vs-one-test (learner test-data &key quiet-p stream) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: one-vs-one-train (learner training-data) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: one-vs-one-update (mulc input training-label) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: one-vs-rest-predict (mulc input) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: one-vs-rest-test (learner test-data &key quiet-p stream) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: one-vs-rest-train (learner training-data) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: one-vs-rest-update (mulc input training-label) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: perceptron-predict (learner input) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: perceptron-test (learner test-data &key quiet-p stream) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: perceptron-train (learner training-data) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: perceptron-update (learner input training-label) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: ps-v*n (pseudosparse-x n index-vector result) ¶

Package

cl-online-learning.vector.

Source

vector.lisp.

Function: read-data (data-path data-dimension &key multiclass-p sparse-p) ¶

Package

cl-online-learning.utils.

Source

utils.lisp.

Function: restore (file-path) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: rls-predict (learner input) ¶

Package

cl-online-learning.

Source

rls.lisp.

Function: rls-test (learner test-data &key quiet-p) ¶

Package

cl-online-learning.

Source

rls.lisp.

Function: rls-train (learner training-data) ¶

Package

cl-online-learning.

Source

rls.lisp.

Function: rls-update (learner input target) ¶

Package

cl-online-learning.

Source

rls.lisp.

Function: s-v*n (sparse-x n result) ¶

Package

cl-online-learning.vector.

Source

vector.lisp.

Function: save (learner file-path) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: scw-predict (learner input) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: scw-test (learner test-data &key quiet-p stream) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: scw-train (learner training-data) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: scw-update (learner input training-label) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: shuffle-vector (vec) ¶

Package

cl-online-learning.utils.

Source

utils.lisp.

Function: sparse-arow-predict (learner input) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: sparse-arow-test (learner test-data &key quiet-p stream) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: sparse-arow-train (learner training-data) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: sparse-arow-update (learner input training-label) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: sparse-learner? (learner) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: sparse-lr+adam-predict (learner input) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: sparse-lr+adam-test (learner test-data &key quiet-p stream) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: sparse-lr+adam-train (learner training-data) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: sparse-lr+adam-update (learner input training-label) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: sparse-lr+sgd-predict (learner input) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: sparse-lr+sgd-test (learner test-data &key quiet-p stream) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: sparse-lr+sgd-train (learner training-data) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: sparse-lr+sgd-update (learner input training-label) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: sparse-perceptron-predict (learner input) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: sparse-perceptron-test (learner test-data &key quiet-p stream) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: sparse-perceptron-train (learner training-data) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: sparse-perceptron-update (learner input training-label) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: sparse-rls-predict (learner input) ¶

Package

cl-online-learning.

Source

rls.lisp.

Function: sparse-rls-test (learner test-data &key quiet-p) ¶

Package

cl-online-learning.

Source

rls.lisp.

Function: sparse-rls-train (learner training-data) ¶

Package

cl-online-learning.

Source

rls.lisp.

Function: sparse-rls-update (learner input target) ¶

Package

cl-online-learning.

Source

rls.lisp.

Function: sparse-scw-predict (learner input) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: sparse-scw-test (learner test-data &key quiet-p stream) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: sparse-scw-train (learner training-data) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: sparse-scw-update (learner input training-label) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Reader: sparse-vector-index-vector (instance) ¶

Writer: (setf sparse-vector-index-vector) (instance) ¶

Package

cl-online-learning.vector.

Source

vector.lisp.

Target Slot

index-vector.

Reader: sparse-vector-length (instance) ¶

Writer: (setf sparse-vector-length) (instance) ¶

Package

cl-online-learning.vector.

Source

vector.lisp.

Target Slot

length.

Reader: sparse-vector-value-vector (instance) ¶

Writer: (setf sparse-vector-value-vector) (instance) ¶

Package

cl-online-learning.vector.

Source

vector.lisp.

Target Slot

value-vector.

Function: sps-v*n (sparse-x n result) ¶

Package

cl-online-learning.vector.

Source

vector.lisp.

Function: test (learner test-data &key quiet-p stream) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: to-float (x) ¶

Package

cl-online-learning.utils.

Source

utils.lisp.

Function: to-int (x) ¶

Package

cl-online-learning.utils.

Source

utils.lisp.

Function: train (learner training-data) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: v* (x y result) ¶

Package

cl-online-learning.vector.

Source

vector.lisp.

Function: v*n (vec n result) ¶

Package

cl-online-learning.vector.

Source

vector.lisp.

Function: v+ (x y result) ¶

Package

cl-online-learning.vector.

Source

vector.lisp.

Function: v+n (x n result) ¶

Package

cl-online-learning.vector.

Source

vector.lisp.

Function: v- (x y result) ¶

Package

cl-online-learning.vector.

Source

vector.lisp.

Function: v-sqrt (x result) ¶

Package

cl-online-learning.vector.

Source

vector.lisp.

Function: v/ (x y result) ¶

Package

cl-online-learning.vector.

Source

vector.lisp.

---

6.1.3 Standalone methods

Method: print-object ((object sparse-scw) stream) ¶

Source

cl-online-learning.lisp.

Method: print-object ((object perceptron) stream) ¶

Source

cl-online-learning.lisp.

Method: print-object ((object rls) stream) ¶

Source

rls.lisp.

Method: print-object ((object one-vs-rest) stream) ¶

Source

cl-online-learning.lisp.

Method: print-object ((object arow) stream) ¶

Source

cl-online-learning.lisp.

Method: print-object ((object one-vs-one) stream) ¶

Source

cl-online-learning.lisp.

Method: print-object ((object lr+adam) stream) ¶

Source

cl-online-learning.lisp.

Method: print-object ((object sparse-lr+adam) stream) ¶

Source

cl-online-learning.lisp.

Method: print-object ((object sparse-rls) stream) ¶

Source

rls.lisp.

Method: print-object ((object scw) stream) ¶

Source

cl-online-learning.lisp.

Method: print-object ((object sparse-arow) stream) ¶

Source

cl-online-learning.lisp.

Method: print-object ((object sparse-perceptron) stream) ¶

Source

cl-online-learning.lisp.

---

6.1.4 Structures

Structure: sparse-vector ¶

Package

cl-online-learning.vector.

Source

vector.lisp.

Direct superclasses

structure-object.

Direct slots

Slot: length ¶

Package

common-lisp.

Type

fixnum

Initform

0

Readers

sparse-vector-length.

Writers

(setf sparse-vector-length).

Slot: index-vector ¶

Type

(simple-array fixnum)

Initform

#()

Readers

sparse-vector-index-vector.

Writers

(setf sparse-vector-index-vector).

Slot: value-vector ¶

Type

(simple-array single-float)

Initform

#()

Readers

sparse-vector-value-vector.

Writers

(setf sparse-vector-value-vector).

---

6.2.1 Macros

Macro: catstr (str1 str2) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Macro: define-learner (learner-type (learner input training-label) &body body) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Macro: define-multi-class-learner-train/test-functions (learner-type) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Macro: define-regression-learner (learner-type (learner input target) &body body) ¶

Package

cl-online-learning.

Source

rls.lisp.

Macro: doseq ((var seq) &body body) ¶

Package

cl-online-learning.utils.

Source

utils.lisp.

Macro: function-by-name (name-string) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Macro: sigmoid (x) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

---

6.2.2 Ordinary functions

Function: %make-arow (&key input-dimension weight bias gamma sigma sigma0 tmp-vec1 tmp-vec2 tmp-float) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: %make-lr+adam (&key input-dimension weight bias c alpha epsilon beta1 beta2 g m v m0 v0 beta1^t beta2^t tmp-vec tmp-float) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: %make-lr+sgd (&key input-dimension weight bias c eta g tmp-vec tmp-float) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: %make-one-vs-one (&key input-dimension n-class learners-vector learner-update learner-predict) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: %make-one-vs-rest (&key input-dimension n-class learners-vector learner-weight learner-bias learner-update learner-activate) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: %make-perceptron (&key input-dimension weight bias tmp-float) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: %make-rls (&key input-dimension weight bias gamma sigma sigma0 tmp-vec1 tmp-vec2 tmp-float) ¶

Package

cl-online-learning.

Source

rls.lisp.

Function: %make-scw (&key input-dimension weight bias eta c phi psi zeta sigma sigma0 tmp-vec1 tmp-vec2 tmp-float) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: %make-sparse-arow (&key input-dimension weight bias gamma sigma sigma0 tmp-vec1 tmp-vec2 tmp-float) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: %make-sparse-lr+adam (&key input-dimension weight bias c alpha epsilon beta1 beta2 g m v m0 v0 beta1^t beta2^t tmp-vec tmp-float) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: %make-sparse-lr+sgd (&key input-dimension weight bias c eta g tmp-vec tmp-float) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: %make-sparse-perceptron (&key input-dimension weight bias tmp-float) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: %make-sparse-rls (&key input-dimension weight bias gamma sigma sigma0 tmp-vec1 tmp-vec2 tmp-float) ¶

Package

cl-online-learning.

Source

rls.lisp.

Function: %make-sparse-scw (&key input-dimension weight bias eta c phi psi zeta sigma sigma0 tmp-vec1 tmp-vec2 tmp-float) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: %make-sparse-vector (&key length index-vector value-vector) ¶

Package

cl-online-learning.vector.

Source

vector.lisp.

Function: %print-arow (obj stream) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: %print-lr+adam (obj stream) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: %print-one-vs-one (obj stream) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: %print-one-vs-rest (obj stream) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: %print-perceptron (obj stream) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: %print-rls (obj stream) ¶

Package

cl-online-learning.

Source

rls.lisp.

Function: %print-scw (obj stream) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: %print-sparse-arow (obj stream) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: %print-sparse-lr+adam (obj stream) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: %print-sparse-perceptron (obj stream) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: %print-sparse-rls (obj stream) ¶

Package

cl-online-learning.

Source

rls.lisp.

Function: %print-sparse-scw (obj stream) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: arg-list->lambda-arg (arg-list) ¶

Package

cl-online-learning.utils.

Source

utils.lisp.

Reader: arow-bias (instance) ¶

Writer: (setf arow-bias) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

bias.

Reader: arow-gamma (instance) ¶

Writer: (setf arow-gamma) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

gamma.

Reader: arow-input-dimension (instance) ¶

Writer: (setf arow-input-dimension) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

input-dimension.

Function: arow-p (object) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Reader: arow-sigma (instance) ¶

Writer: (setf arow-sigma) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

sigma.

Reader: arow-sigma0 (instance) ¶

Writer: (setf arow-sigma0) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

sigma0.

Reader: arow-tmp-float (instance) ¶

Writer: (setf arow-tmp-float) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

tmp-float.

Reader: arow-tmp-vec1 (instance) ¶

Writer: (setf arow-tmp-vec1) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

tmp-vec1.

Reader: arow-tmp-vec2 (instance) ¶

Writer: (setf arow-tmp-vec2) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

tmp-vec2.

Reader: arow-weight (instance) ¶

Writer: (setf arow-weight) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

weight.

Function: copy-arow (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: copy-lr+adam (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: copy-lr+sgd (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: copy-one-vs-one (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: copy-one-vs-rest (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: copy-perceptron (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: copy-rls (instance) ¶

Package

cl-online-learning.

Source

rls.lisp.

Function: copy-scw (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: copy-sparse-arow (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: copy-sparse-lr+adam (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: copy-sparse-lr+sgd (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: copy-sparse-perceptron (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: copy-sparse-rls (instance) ¶

Package

cl-online-learning.

Source

rls.lisp.

Function: copy-sparse-scw (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: copy-sparse-vector (instance) ¶

Package

cl-online-learning.vector.

Source

vector.lisp.

Function: f (input weight bias) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: f! (input weight bias result) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: flatten (structure) ¶

Package

cl-online-learning.utils.

Source

utils.lisp.

Function: group-arg-list (arg-list) ¶

Package

cl-online-learning.utils.

Source

utils.lisp.

Function: index-of-learner (k i l) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: inverse-erf (x) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: logistic-regression-gradient! (training-label input-vector weight-vector bias c tmp-vec g-result g0-result) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: logistic-regression-gradient-sparse! (training-label input-vector weight-vector bias c tmp-vec g-result g0-result) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Reader: lr+adam-alpha (instance) ¶

Writer: (setf lr+adam-alpha) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

alpha.

Reader: lr+adam-beta1 (instance) ¶

Writer: (setf lr+adam-beta1) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

beta1.

Reader: lr+adam-beta1^t (instance) ¶

Writer: (setf lr+adam-beta1^t) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

beta1^t.

Reader: lr+adam-beta2 (instance) ¶

Writer: (setf lr+adam-beta2) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

beta2.

Reader: lr+adam-beta2^t (instance) ¶

Writer: (setf lr+adam-beta2^t) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

beta2^t.

Reader: lr+adam-bias (instance) ¶

Writer: (setf lr+adam-bias) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

bias.

Reader: lr+adam-c (instance) ¶

Writer: (setf lr+adam-c) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

c.

Reader: lr+adam-epsilon (instance) ¶

Writer: (setf lr+adam-epsilon) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

epsilon.

Reader: lr+adam-g (instance) ¶

Writer: (setf lr+adam-g) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

g.

Reader: lr+adam-input-dimension (instance) ¶

Writer: (setf lr+adam-input-dimension) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

input-dimension.

Reader: lr+adam-m (instance) ¶

Writer: (setf lr+adam-m) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

m.

Reader: lr+adam-m0 (instance) ¶

Writer: (setf lr+adam-m0) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

m0.

Function: lr+adam-p (object) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Reader: lr+adam-tmp-float (instance) ¶

Writer: (setf lr+adam-tmp-float) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

tmp-float.

Reader: lr+adam-tmp-vec (instance) ¶

Writer: (setf lr+adam-tmp-vec) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

tmp-vec.

Reader: lr+adam-v (instance) ¶

Writer: (setf lr+adam-v) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

v.

Reader: lr+adam-v0 (instance) ¶

Writer: (setf lr+adam-v0) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

v0.

Reader: lr+adam-weight (instance) ¶

Writer: (setf lr+adam-weight) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

weight.

Reader: lr+sgd-bias (instance) ¶

Writer: (setf lr+sgd-bias) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

bias.

Reader: lr+sgd-c (instance) ¶

Writer: (setf lr+sgd-c) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

c.

Reader: lr+sgd-eta (instance) ¶

Writer: (setf lr+sgd-eta) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

eta.

Reader: lr+sgd-g (instance) ¶

Writer: (setf lr+sgd-g) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

g.

Reader: lr+sgd-input-dimension (instance) ¶

Writer: (setf lr+sgd-input-dimension) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

input-dimension.

Function: lr+sgd-p (object) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Reader: lr+sgd-tmp-float (instance) ¶

Writer: (setf lr+sgd-tmp-float) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

tmp-float.

Reader: lr+sgd-tmp-vec (instance) ¶

Writer: (setf lr+sgd-tmp-vec) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

tmp-vec.

Reader: lr+sgd-weight (instance) ¶

Writer: (setf lr+sgd-weight) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

weight.

Function: mean-vector (dataset) ¶

Package

cl-online-learning.utils.

Source

utils.lisp.

Function: one-vs-one-clear-functions-for-store (mulc) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Reader: one-vs-one-input-dimension (instance) ¶

Writer: (setf one-vs-one-input-dimension) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

input-dimension.

Reader: one-vs-one-learner-predict (instance) ¶

Writer: (setf one-vs-one-learner-predict) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

learner-predict.

Reader: one-vs-one-learner-update (instance) ¶

Writer: (setf one-vs-one-learner-update) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

learner-update.

Reader: one-vs-one-learners-vector (instance) ¶

Writer: (setf one-vs-one-learners-vector) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

learners-vector.

Reader: one-vs-one-n-class (instance) ¶

Writer: (setf one-vs-one-n-class) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

n-class.

Function: one-vs-one-p (object) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: one-vs-one-restore-functions (mulc) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: one-vs-rest-clear-functions-for-store (mulc) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Reader: one-vs-rest-input-dimension (instance) ¶

Writer: (setf one-vs-rest-input-dimension) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

input-dimension.

Reader: one-vs-rest-learner-activate (instance) ¶

Writer: (setf one-vs-rest-learner-activate) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

learner-activate.

Reader: one-vs-rest-learner-bias (instance) ¶

Writer: (setf one-vs-rest-learner-bias) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

learner-bias.

Reader: one-vs-rest-learner-update (instance) ¶

Writer: (setf one-vs-rest-learner-update) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

learner-update.

Reader: one-vs-rest-learner-weight (instance) ¶

Writer: (setf one-vs-rest-learner-weight) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

learner-weight.

Reader: one-vs-rest-learners-vector (instance) ¶

Writer: (setf one-vs-rest-learners-vector) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

learners-vector.

Reader: one-vs-rest-n-class (instance) ¶

Writer: (setf one-vs-rest-n-class) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

n-class.

Function: one-vs-rest-p (object) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: one-vs-rest-restore-functions (mulc) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Reader: perceptron-bias (instance) ¶

Writer: (setf perceptron-bias) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

bias.

Reader: perceptron-input-dimension (instance) ¶

Writer: (setf perceptron-input-dimension) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

input-dimension.

Function: perceptron-p (object) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Reader: perceptron-tmp-float (instance) ¶

Writer: (setf perceptron-tmp-float) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

tmp-float.

Reader: perceptron-weight (instance) ¶

Writer: (setf perceptron-weight) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

weight.

Function: probit (p) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: read-datum (svmformat-datum data-dimension &key multiclass-p) ¶

Package

cl-online-learning.utils.

Source

utils.lisp.

Function: read-datum-sparse (svmformat-datum &key multiclass-p) ¶

Package

cl-online-learning.utils.

Source

utils.lisp.

Reader: rls-bias (instance) ¶

Writer: (setf rls-bias) (instance) ¶

Package

cl-online-learning.

Source

rls.lisp.

Target Slot

bias.

Reader: rls-gamma (instance) ¶

Writer: (setf rls-gamma) (instance) ¶

Package

cl-online-learning.

Source

rls.lisp.

Target Slot

gamma.

Reader: rls-input-dimension (instance) ¶

Writer: (setf rls-input-dimension) (instance) ¶

Package

cl-online-learning.

Source

rls.lisp.

Target Slot

input-dimension.

Function: rls-p (object) ¶

Package

cl-online-learning.

Source

rls.lisp.

Reader: rls-sigma (instance) ¶

Writer: (setf rls-sigma) (instance) ¶

Package

cl-online-learning.

Source

rls.lisp.

Target Slot

sigma.

Reader: rls-sigma0 (instance) ¶

Writer: (setf rls-sigma0) (instance) ¶

Package

cl-online-learning.

Source

rls.lisp.

Target Slot

sigma0.

Reader: rls-tmp-float (instance) ¶

Writer: (setf rls-tmp-float) (instance) ¶

Package

cl-online-learning.

Source

rls.lisp.

Target Slot

tmp-float.

Reader: rls-tmp-vec1 (instance) ¶

Writer: (setf rls-tmp-vec1) (instance) ¶

Package

cl-online-learning.

Source

rls.lisp.

Target Slot

tmp-vec1.

Reader: rls-tmp-vec2 (instance) ¶

Writer: (setf rls-tmp-vec2) (instance) ¶

Package

cl-online-learning.

Source

rls.lisp.

Target Slot

tmp-vec2.

Reader: rls-weight (instance) ¶

Writer: (setf rls-weight) (instance) ¶

Package

cl-online-learning.

Source

rls.lisp.

Target Slot

weight.

Function: sanity-check (lambda-list arg-list) ¶

Package

cl-online-learning.utils.

Source

utils.lisp.

Reader: scw-bias (instance) ¶

Writer: (setf scw-bias) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

bias.

Reader: scw-c (instance) ¶

Writer: (setf scw-c) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

c.

Reader: scw-eta (instance) ¶

Writer: (setf scw-eta) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

eta.

Reader: scw-input-dimension (instance) ¶

Writer: (setf scw-input-dimension) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

input-dimension.

Function: scw-p (object) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Reader: scw-phi (instance) ¶

Writer: (setf scw-phi) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

phi.

Reader: scw-psi (instance) ¶

Writer: (setf scw-psi) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

psi.

Reader: scw-sigma (instance) ¶

Writer: (setf scw-sigma) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

sigma.

Reader: scw-sigma0 (instance) ¶

Writer: (setf scw-sigma0) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

sigma0.

Reader: scw-tmp-float (instance) ¶

Writer: (setf scw-tmp-float) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

tmp-float.

Reader: scw-tmp-vec1 (instance) ¶

Writer: (setf scw-tmp-vec1) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

tmp-vec1.

Reader: scw-tmp-vec2 (instance) ¶

Writer: (setf scw-tmp-vec2) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

tmp-vec2.

Reader: scw-weight (instance) ¶

Writer: (setf scw-weight) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

weight.

Reader: scw-zeta (instance) ¶

Writer: (setf scw-zeta) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

zeta.

Function: sf (input weight bias) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: sf! (input weight bias result) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: sign (x) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Reader: sparse-arow-bias (instance) ¶

Writer: (setf sparse-arow-bias) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

bias.

Reader: sparse-arow-gamma (instance) ¶

Writer: (setf sparse-arow-gamma) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

gamma.

Reader: sparse-arow-input-dimension (instance) ¶

Writer: (setf sparse-arow-input-dimension) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

input-dimension.

Function: sparse-arow-p (object) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Reader: sparse-arow-sigma (instance) ¶

Writer: (setf sparse-arow-sigma) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

sigma.

Reader: sparse-arow-sigma0 (instance) ¶

Writer: (setf sparse-arow-sigma0) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

sigma0.

Reader: sparse-arow-tmp-float (instance) ¶

Writer: (setf sparse-arow-tmp-float) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

tmp-float.

Reader: sparse-arow-tmp-vec1 (instance) ¶

Writer: (setf sparse-arow-tmp-vec1) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

tmp-vec1.

Reader: sparse-arow-tmp-vec2 (instance) ¶

Writer: (setf sparse-arow-tmp-vec2) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

tmp-vec2.

Reader: sparse-arow-weight (instance) ¶

Writer: (setf sparse-arow-weight) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

weight.

Reader: sparse-lr+adam-alpha (instance) ¶

Writer: (setf sparse-lr+adam-alpha) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

alpha.

Reader: sparse-lr+adam-beta1 (instance) ¶

Writer: (setf sparse-lr+adam-beta1) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

beta1.

Reader: sparse-lr+adam-beta1^t (instance) ¶

Writer: (setf sparse-lr+adam-beta1^t) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

beta1^t.

Reader: sparse-lr+adam-beta2 (instance) ¶

Writer: (setf sparse-lr+adam-beta2) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

beta2.

Reader: sparse-lr+adam-beta2^t (instance) ¶

Writer: (setf sparse-lr+adam-beta2^t) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

beta2^t.

Reader: sparse-lr+adam-bias (instance) ¶

Writer: (setf sparse-lr+adam-bias) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

bias.

Reader: sparse-lr+adam-c (instance) ¶

Writer: (setf sparse-lr+adam-c) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

c.

Reader: sparse-lr+adam-epsilon (instance) ¶

Writer: (setf sparse-lr+adam-epsilon) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

epsilon.

Reader: sparse-lr+adam-g (instance) ¶

Writer: (setf sparse-lr+adam-g) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

g.

Reader: sparse-lr+adam-input-dimension (instance) ¶

Writer: (setf sparse-lr+adam-input-dimension) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

input-dimension.

Reader: sparse-lr+adam-m (instance) ¶

Writer: (setf sparse-lr+adam-m) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

m.

Reader: sparse-lr+adam-m0 (instance) ¶

Writer: (setf sparse-lr+adam-m0) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

m0.

Function: sparse-lr+adam-p (object) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Reader: sparse-lr+adam-tmp-float (instance) ¶

Writer: (setf sparse-lr+adam-tmp-float) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

tmp-float.

Reader: sparse-lr+adam-tmp-vec (instance) ¶

Writer: (setf sparse-lr+adam-tmp-vec) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

tmp-vec.

Reader: sparse-lr+adam-v (instance) ¶

Writer: (setf sparse-lr+adam-v) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

v.

Reader: sparse-lr+adam-v0 (instance) ¶

Writer: (setf sparse-lr+adam-v0) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

v0.

Reader: sparse-lr+adam-weight (instance) ¶

Writer: (setf sparse-lr+adam-weight) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

weight.

Reader: sparse-lr+sgd-bias (instance) ¶

Writer: (setf sparse-lr+sgd-bias) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

bias.

Reader: sparse-lr+sgd-c (instance) ¶

Writer: (setf sparse-lr+sgd-c) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

c.

Reader: sparse-lr+sgd-eta (instance) ¶

Writer: (setf sparse-lr+sgd-eta) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

eta.

Reader: sparse-lr+sgd-g (instance) ¶

Writer: (setf sparse-lr+sgd-g) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

g.

Reader: sparse-lr+sgd-input-dimension (instance) ¶

Writer: (setf sparse-lr+sgd-input-dimension) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

input-dimension.

Function: sparse-lr+sgd-p (object) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Reader: sparse-lr+sgd-tmp-float (instance) ¶

Writer: (setf sparse-lr+sgd-tmp-float) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

tmp-float.

Reader: sparse-lr+sgd-tmp-vec (instance) ¶

Writer: (setf sparse-lr+sgd-tmp-vec) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

tmp-vec.

Reader: sparse-lr+sgd-weight (instance) ¶

Writer: (setf sparse-lr+sgd-weight) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

weight.

Reader: sparse-perceptron-bias (instance) ¶

Writer: (setf sparse-perceptron-bias) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

bias.

Reader: sparse-perceptron-input-dimension (instance) ¶

Writer: (setf sparse-perceptron-input-dimension) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

input-dimension.

Function: sparse-perceptron-p (object) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Reader: sparse-perceptron-tmp-float (instance) ¶

Writer: (setf sparse-perceptron-tmp-float) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

tmp-float.

Reader: sparse-perceptron-weight (instance) ¶

Writer: (setf sparse-perceptron-weight) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

weight.

Reader: sparse-rls-bias (instance) ¶

Writer: (setf sparse-rls-bias) (instance) ¶

Package

cl-online-learning.

Source

rls.lisp.

Target Slot

bias.

Reader: sparse-rls-gamma (instance) ¶

Writer: (setf sparse-rls-gamma) (instance) ¶

Package

cl-online-learning.

Source

rls.lisp.

Target Slot

gamma.

Reader: sparse-rls-input-dimension (instance) ¶

Writer: (setf sparse-rls-input-dimension) (instance) ¶

Package

cl-online-learning.

Source

rls.lisp.

Target Slot

input-dimension.

Function: sparse-rls-p (object) ¶

Package

cl-online-learning.

Source

rls.lisp.

Reader: sparse-rls-sigma (instance) ¶

Writer: (setf sparse-rls-sigma) (instance) ¶

Package

cl-online-learning.

Source

rls.lisp.

Target Slot

sigma.

Reader: sparse-rls-sigma0 (instance) ¶

Writer: (setf sparse-rls-sigma0) (instance) ¶

Package

cl-online-learning.

Source

rls.lisp.

Target Slot

sigma0.

Reader: sparse-rls-tmp-float (instance) ¶

Writer: (setf sparse-rls-tmp-float) (instance) ¶

Package

cl-online-learning.

Source

rls.lisp.

Target Slot

tmp-float.

Reader: sparse-rls-tmp-vec1 (instance) ¶

Writer: (setf sparse-rls-tmp-vec1) (instance) ¶

Package

cl-online-learning.

Source

rls.lisp.

Target Slot

tmp-vec1.

Reader: sparse-rls-tmp-vec2 (instance) ¶

Writer: (setf sparse-rls-tmp-vec2) (instance) ¶

Package

cl-online-learning.

Source

rls.lisp.

Target Slot

tmp-vec2.

Reader: sparse-rls-weight (instance) ¶

Writer: (setf sparse-rls-weight) (instance) ¶

Package

cl-online-learning.

Source

rls.lisp.

Target Slot

weight.

Reader: sparse-scw-bias (instance) ¶

Writer: (setf sparse-scw-bias) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

bias.

Reader: sparse-scw-c (instance) ¶

Writer: (setf sparse-scw-c) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

c.

Reader: sparse-scw-eta (instance) ¶

Writer: (setf sparse-scw-eta) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

eta.

Reader: sparse-scw-input-dimension (instance) ¶

Writer: (setf sparse-scw-input-dimension) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

input-dimension.

Function: sparse-scw-p (object) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Reader: sparse-scw-phi (instance) ¶

Writer: (setf sparse-scw-phi) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

phi.

Reader: sparse-scw-psi (instance) ¶

Writer: (setf sparse-scw-psi) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

psi.

Reader: sparse-scw-sigma (instance) ¶

Writer: (setf sparse-scw-sigma) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

sigma.

Reader: sparse-scw-sigma0 (instance) ¶

Writer: (setf sparse-scw-sigma0) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

sigma0.

Reader: sparse-scw-tmp-float (instance) ¶

Writer: (setf sparse-scw-tmp-float) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

tmp-float.

Reader: sparse-scw-tmp-vec1 (instance) ¶

Writer: (setf sparse-scw-tmp-vec1) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

tmp-vec1.

Reader: sparse-scw-tmp-vec2 (instance) ¶

Writer: (setf sparse-scw-tmp-vec2) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

tmp-vec2.

Reader: sparse-scw-weight (instance) ¶

Writer: (setf sparse-scw-weight) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

weight.

Reader: sparse-scw-zeta (instance) ¶

Writer: (setf sparse-scw-zeta) (instance) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Target Slot

zeta.

Function: sparse-symbol? (symbol) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

Function: sparse-vector-p (object) ¶

Package

cl-online-learning.vector.

Source

vector.lisp.

Function: split-lambda-list (lambda-list) ¶

Package

cl-online-learning.utils.

Source

utils.lisp.

Function: standard-deviation-vector (dataset) ¶

Package

cl-online-learning.utils.

Source

utils.lisp.

Function: sum-permutation (n m) ¶

Package

cl-online-learning.

Source

cl-online-learning.lisp.

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