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Functions368 in github.com/rushter/MLAlgorithms

⨍ Functions 368◇ Types & classes 63
Method__init__
(self, degree=2)
mla/svm/kernerls.py:15
Method__init__
(self, gamma=0.1)
mla/svm/kernerls.py:26
Method__init__
Support vector machines implementation using simplified SMO optimization. Parameters ---------- C : float, default 1.0
mla/svm/svm.py:18
Method__repr__
(self)
mla/svm/kernerls.py:10
Method__repr__
(self)
mla/svm/kernerls.py:21
Method__repr__
(self)
mla/svm/kernerls.py:34
Method__setitem__
(self, key, value)
mla/neuralnet/parameters.py:97
Method_loss
(self, w)
mla/linear_models.py:46
Method_loss
(self, w)
mla/linear_models.py:114
Method_loss
(self, w)
mla/linear_models.py:128
Method_penalty
(self, weights)
mla/neuralnet/regularizers.py:11
Method_penalty
(self, weights)
mla/neuralnet/regularizers.py:22
Method_penalty
(self, weights)
mla/neuralnet/regularizers.py:27
Method_penalty
(self, weights)
mla/neuralnet/regularizers.py:34
Method_predict
(self, X=None)
mla/pca.py:62
Method_predict
(self, X=None)
mla/linear_models.py:87
Method_predict
(self, X=None)
mla/linear_models.py:136
Method_predict
(self, X=None)
mla/rbm.py:100
Method_predict
Perform clustering on the dataset.
mla/kmeans.py:66
Method_predict
Get the assignments for X with GMM clusters.
mla/gaussian_mixture.py:117
Method_predict
(self, X=None)
mla/knn.py:31
Method_predict
(self, X=None)
mla/naive_bayes.py:35
Method_predict
(self, X=None)
mla/ensemble/random_forest.py:57
Method_predict
(self, X=None)
mla/ensemble/random_forest.py:87
Method_predict
(self, X=None)
mla/ensemble/random_forest.py:126
Method_predict
(self, X=None)
mla/svm/svm.py:107
Method_predict_row
Predict log likelihood for given row.
mla/naive_bayes.py:42
Methodaggregate
Return the most common target label.
mla/knn.py:61
Methodaggregate
Return the mean of all targets.
mla/knn.py:71
Methodbackward_pass
(self, delta)
mla/neuralnet/layers/basic.py:79
Methodbackward_pass
(self, delta)
mla/neuralnet/layers/basic.py:103
Methodbackward_pass
(self, delta)
mla/neuralnet/layers/basic.py:127
Methodbackward_pass
(self, delta)
mla/neuralnet/layers/basic.py:143
Methodbackward_pass
(self, delta)
mla/neuralnet/layers/basic.py:171
Methodbackward_pass
(self, delta)
mla/neuralnet/layers/convnet.py:58
Methodbackward_pass
(self, delta)
mla/neuralnet/layers/convnet.py:109
Methodbackward_pass
(self, delta)
mla/neuralnet/layers/convnet.py:136
Methodbackward_pass
(self, X)
mla/neuralnet/layers/normalization.py:144
Methodbackward_pass
(self, delta)
mla/neuralnet/layers/recurrent/rnn.py:76
Methodbackward_pass
(self, delta)
mla/neuralnet/layers/recurrent/lstm.py:133
Functionbinary_crossentropy
(actual, predicted)
mla/metrics/metrics.py:72
Methodclip
(self, p)
mla/neuralnet/constraints.py:8
Methodclip
(self, p)
mla/neuralnet/constraints.py:17
Methodclip
(self, p)
mla/neuralnet/constraints.py:31
Methodclip
(self, p)
mla/neuralnet/constraints.py:39
Functiondataset
()
mla/tests/test_reduction.py:16
Methodfit
(self, X, y=None)
mla/linear_models.py:65
Methodfit
(self, X, y=None)
mla/fm.py:76
Methodfit
(self, X, y=None)
mla/fm.py:83
Methodfit
(self, X, y=None)
mla/rbm.py:39
Methodfit
(self, X, y=None)
mla/base/base.py:50
Methodfit
(self, X, y)
mla/ensemble/random_forest.py:39
Methodforward_pass
(self, X)
mla/neuralnet/layers/basic.py:71
Methodforward_pass
(self, X)
mla/neuralnet/layers/basic.py:99
Methodforward_pass
(self, X)
mla/neuralnet/layers/basic.py:117
Methodforward_pass
(self, x)
mla/neuralnet/layers/basic.py:140
Methodforward_pass
(self, X)
mla/neuralnet/layers/basic.py:164
Methodforward_pass
(self, X)
mla/neuralnet/layers/convnet.py:48
Methodforward_pass
(self, X)
mla/neuralnet/layers/convnet.py:93
Methodforward_pass
(self, X)
mla/neuralnet/layers/convnet.py:132
Methodforward_pass
(self, X)
mla/neuralnet/layers/normalization.py:82
Methodforward_pass
(self, X)
mla/neuralnet/layers/recurrent/rnn.py:55
Methodforward_pass
(self, X)
mla/neuralnet/layers/recurrent/lstm.py:87
Functiongelu
Gaussian Error Linear Unit (GELU)
mla/neuralnet/activations.py:46
Functionglorot_normal
(shape, **kwargs)
mla/neuralnet/initializations.py:46
Functionglorot_uniform
(shape, **kwargs)
mla/neuralnet/initializations.py:52
Methodgrad
(self)
mla/neuralnet/parameters.py:87
Methodgrad
(self, actual, predicted)
mla/ensemble/gbm.py:54
Methodgrad
(self, actual, predicted)
mla/ensemble/gbm.py:64
Methodgrid_gaussian_pdf
(mean, cov)
mla/gaussian_mixture.py:164
Functionhe_normal
(shape, **kwargs)
mla/neuralnet/initializations.py:58
Functionhe_uniform
(shape, **kwargs)
mla/neuralnet/initializations.py:64
Methodhess
(self, actual, predicted)
mla/ensemble/gbm.py:57
Methodhess
(self, actual, predicted)
mla/ensemble/gbm.py:67
Functionhinge
(actual, predicted)
mla/metrics/metrics.py:68
Functioninformation_gain
(y, splits)
mla/ensemble/base.py:16
Methodinit_cost
(self)
mla/linear_models.py:118
Methodinit_cost
(self)
mla/linear_models.py:125
Methodis_terminal
(self)
mla/ensemble/tree.py:29
Methodis_testing
(self)
mla/neuralnet/layers/basic.py:45
Methodis_training
(self)
mla/neuralnet/nnet.py:152
Methodis_training
(self)
mla/neuralnet/layers/basic.py:37
Functionleakyrelu
(z, a=0.01)
mla/neuralnet/activations.py:42
Functionlinear
(z)
mla/neuralnet/activations.py:19
Functionlogloss
(actual, predicted)
mla/metrics/metrics.py:62
Functionmean_absolute_error
(actual, predicted)
mla/metrics/metrics.py:34
Functionmlp_model
(n_actions, batch_size=64)
examples/rl_deep_q_learning.py:11
Functionmse_criterion
(y, splits)
mla/ensemble/base.py:23
Methodn_layers
Returns the number of layers.
mla/neuralnet/nnet.py:171
Methodn_params
Count the number of parameters in this layer.
mla/neuralnet/parameters.py:79
Methodn_params
Return the number of trainable parameters.
mla/neuralnet/nnet.py:176
Functionone
(shape, **kwargs)
mla/neuralnet/initializations.py:22
Functionorthogonal
(shape, scale=0.5)
mla/neuralnet/initializations.py:26
Methodparameters
Returns a list of all parameters.
mla/neuralnet/nnet.py:127
Methodparameters
(self)
mla/neuralnet/layers/basic.py:29
Methodparameters
(self)
mla/neuralnet/layers/basic.py:179
Methodparametric_layers
(self)
mla/neuralnet/nnet.py:121
Methodpredict
(self, X=None)
mla/base/base.py:53
Functionregression
()
examples/random_forest.py:45
Functionregression
()
examples/gbm.py:44
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