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SVM classification added - #243

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SVM classification added#243
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@gyrdym gyrdym commented Aug 27, 2022

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gyrdym added 30 commits October 1, 2019 20:44
@gyrdym
pubspec.yaml: sdk version updated, unit tests: tearDownAll added to s…
745e624 
…ome tests
@gyrdym
tearDown behavior changed for gradient descent optimizer unit tests
847fcf7
@gyrdym
linear optimizer directory reorganized
33ca82b
@gyrdym
tearDown behavior changed for unit tests
a7dc0de
@gyrdym
unit tests for softmax regressor predict method added
4d61218
@gyrdym
initial_weights_* prefix renamed to initial_coefficients* in the nami…
580e1bf 
…ng of relevant entities
@gyrdym
predictor api changed, method 'predict': returning type changed to Da…
494cd81 
…taFrame
@gyrdym
getting rid of Parameterless regressor
f71dcb8
@gyrdym
predictor api changed, method 'predict': input parameter type changed…
9e6b8d2 
… to DataFrame
@gyrdym
classifier and regressor folders reorganized
6951ad4
@gyrdym
classLabels field removed from Classifier interface
ca8af90
@gyrdym
predictProbabilies method returning type changed to DataFrame
880b9d8
@gyrdym
CostFunction: subDerevative method renamed to subGradient; unit tests…
2936a5c 
… for cost function factory added
@gyrdym
classifier test folder reorganized, unit test for LogisticRegressor.p…
bf93f77 
…redictProbabilities method added
@gyrdym
LinearClassifier.predictProbabilities: input parameter type changed t…
2f020be 
…o DataFrame
@gyrdym
positive and negative labels parameters added to logistic and softmax…
2dcb392 
… regressor constructors
@gyrdym
documentation for LogisticRegressor corrected and extended
10c58a8
@gyrdym
softmax regressor documentation added nad extended
c6fe68c
@gyrdym
decision tree classifier documentation added
11f8aaf
@gyrdym
documentation for knn regressor added
a50ac39
@gyrdym
documentation for linear regression corrected
d6448b2
@gyrdym
dtype removed from constructors of all predictors
6739fed
@gyrdym
regularization type added
b834bc7
@gyrdym
tests for logistic regressor and softmax regressor refactored
c78e1fc
@gyrdym
ml_dataframe 0.0.10 supported, unit tests for LogisticRegressor and S…
07727ca 
…oftMaxRegressor extended
@gyrdym
linear regressor unit tests refactored and extended
df3dc0a
@gyrdym
dtype returned to constructor parameters for all predictors
67439d7
@gyrdym
README fixed
25bf0d8
@gyrdym
regularization type and linear optimizer type added to exports
b54e071
@gyrdym
coordinate descent optimizer returning matrix shape fixed
c1269be
gyrdym added 28 commits April 7, 2022 22:46
@gyrdym
DecisionTreeClassifier example added to README (#214)
56bc063
@gyrdym
DecisionTree: Gini index split criteria added (#215)
cf3dff5
@gyrdym
KDTree: Supported 'cosine', 'manhattan' and 'hamming' distance (#216)
761cb21
@gyrdym
KDTree: added 'queryIterable' method (#217)
a049091
@gyrdym
README: Proofreading the texts (#218)
1b6d39d
@gyrdym
KDTree: Corrected usage example (#219)
348d489
@gyrdym
CrossValidator: Proofreading the documentation (#220)
8d3a72d
@gyrdym
DecisionTreeClassifier: Proofreading the documentation (#221)
fddc51e
@gyrdym
KnnClassifier: Proofreading the documentation (#222)
fddbe17
@gyrdym
ml libraries upgraded (#223)
51c16c8
@gyrdym
KDTree exported as a separate library; an example added to README (#224)
780b8a6
@gyrdym
KDTree.fromIterable: default value for splitting strategy changed (#225)
3ab125e
@gyrdym
Toy datasets used (#226)
f65088d
@gyrdym
Remove async toy datasets (#227)
1ced4c0
@gyrdym
'Random Binary Projection' algorithm added (#228)
e47d6ef
@gyrdym
Corrected link to 'RandomBinaryProjectionSearcher' class in README.md (…
d9adf2b 
…#229)
@gyrdym
RandomBinaryProjectionSearcher: distance type considered (#230)
8aa109f
@gyrdym
Added LinearRegressor.SGD constructor (#231)
c2e771e
@gyrdym
'LinearRegressor.BGD' constructor added (#232)
2d2b38d
@gyrdym
README: LogisticRegressor example corrected (#233)
cdfe598
@gyrdym
Set 'fitIntercept' param to 'true' by default (#234)
20515b8
@gyrdym
Linear Regression: Newton method added (#237)
dc2c80a
@gyrdym
Logistic Regression: newton method added (#239)
0de05a2
@gyrdym
e2e tests: more stable tests for LinearRegressor (#240)
0e035b9
@gyrdym
Code quality: strict options turned on; lints used (#241)
989c5c5
@gyrdym
LogLikelihood function, Newton optimizer: dtype passed (#242)
bfe2606
@gyrdym
SVM classification added
411cb44
@gyrdym
WIP
0835583

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