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github.com/rushter/MLAlgorithms
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Functions
368 in github.com/rushter/MLAlgorithms
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Functions
368
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Types & classes
63
Function
relu
(z)
mla/neuralnet/activations.py:38
Function
root_mean_squared_error
(actual, predicted)
mla/metrics/metrics.py:54
Function
root_mean_squared_log_error
(actual, predicted)
mla/metrics/metrics.py:58
Method
setup
Creates additional variables. Note: Must be called before optimization process.
mla/neuralnet/optimizers.py:65
Method
setup
(self, network)
mla/neuralnet/optimizers.py:115
Method
setup
(self, network)
mla/neuralnet/optimizers.py:148
Method
setup
(self, network)
mla/neuralnet/optimizers.py:174
Method
setup
(self, network)
mla/neuralnet/optimizers.py:211
Method
setup
(self, network)
mla/neuralnet/optimizers.py:245
Method
setup
(self, x_shape)
mla/neuralnet/layers/basic.py:68
Method
setup
(self, X_shape)
mla/neuralnet/layers/basic.py:159
Method
setup
(self, X_shape)
mla/neuralnet/layers/convnet.py:41
Method
setup
(self, x_shape)
mla/neuralnet/layers/normalization.py:24
Method
setup
Parameters ---------- x_shape : np.array(batch size, time steps, input shape)
mla/neuralnet/layers/recurrent/rnn.py:35
Method
setup
Naming convention: i : input gate f : forget gate c : cell o : output gate Parameters ------
mla/neuralnet/layers/recurrent/lstm.py:47
Method
shape
(self, x_shape)
mla/neuralnet/layers/basic.py:88
Method
shape
(self, x_shape)
mla/neuralnet/layers/basic.py:106
Method
shape
(self, x_shape)
mla/neuralnet/layers/basic.py:130
Method
shape
(self, x_shape)
mla/neuralnet/layers/basic.py:146
Method
shape
(self, x_shape)
mla/neuralnet/layers/basic.py:182
Method
shape
(self, x_shape)
mla/neuralnet/layers/convnet.py:122
Method
shape
(self, x_shape)
mla/neuralnet/layers/convnet.py:139
Method
shape
(self, x_shape)
mla/neuralnet/layers/normalization.py:157
Method
shape
(self, x_shape)
mla/neuralnet/layers/recurrent/rnn.py:106
Method
shape
(self, x_shape)
mla/neuralnet/layers/recurrent/lstm.py:191
Function
softsign
(z)
mla/neuralnet/activations.py:30
Function
tanh
(z)
mla/neuralnet/activations.py:34
Function
test_PCA
(dataset)
mla/tests/test_reduction.py:30
Function
test_absolute_error
()
mla/metrics/tests/test_metrics.py:35
Function
test_adadelta
()
mla/neuralnet/tests/test_optimizers.py:49
Function
test_adagrad
()
mla/neuralnet/tests/test_optimizers.py:65
Function
test_adam
()
mla/neuralnet/tests/test_optimizers.py:53
Function
test_adamax
()
mla/neuralnet/tests/test_optimizers.py:57
Function
test_classification_error
()
mla/metrics/tests/test_metrics.py:28
Function
test_data_validation
()
mla/metrics/tests/test_metrics.py:11
Function
test_gbm
()
mla/tests/test_classification_accuracy.py:93
Function
test_knn
()
mla/tests/test_regression_accuracy.py:57
Function
test_knn
()
mla/tests/test_classification_accuracy.py:109
Function
test_linear
()
mla/tests/test_regression_accuracy.py:30
Function
test_linear_model
()
mla/tests/test_classification_accuracy.py:43
Function
test_mean_absolute_error
()
mla/metrics/tests/test_metrics.py:41
Function
test_mean_squared_error
()
mla/metrics/tests/test_metrics.py:72
Function
test_mean_squared_log_error
()
mla/metrics/tests/test_metrics.py:60
Function
test_mlp
()
mla/tests/test_regression_accuracy.py:37
Function
test_mlp
()
mla/tests/test_classification_accuracy.py:68
Function
test_multiclass_logloss
()
mla/metrics/tests/test_metrics.py:84
Function
test_naive_bayes
()
mla/tests/test_classification_accuracy.py:102
Function
test_random_forest
()
mla/tests/test_classification_accuracy.py:50
Function
test_rmsprop
()
mla/neuralnet/tests/test_optimizers.py:61
Function
test_root_mean_squared_error
()
mla/metrics/tests/test_metrics.py:78
Function
test_root_mean_squared_log_error
()
mla/metrics/tests/test_metrics.py:66
Function
test_sgd
()
mla/neuralnet/tests/test_optimizers.py:69
Function
test_softplus
()
mla/neuralnet/tests/test_activations.py:8
Function
test_squared_error
()
mla/metrics/tests/test_metrics.py:47
Function
test_squared_log_error
()
mla/metrics/tests/test_metrics.py:53
Function
test_svm_classification
()
mla/tests/test_classification_accuracy.py:57
Method
train_batch
(self, network, X, y)
mla/neuralnet/optimizers.py:60
Method
transform
(self, output)
mla/ensemble/gbm.py:71
Function
unhot
Convert one-hot representation into one column.
mla/metrics/metrics.py:7
Method
update
(self, X, y)
mla/neuralnet/nnet.py:94
Method
update
(self, network)
mla/neuralnet/optimizers.py:107
Method
update
(self, network)
mla/neuralnet/optimizers.py:129
Method
update
(self, network)
mla/neuralnet/optimizers.py:164
Method
update
(self, network)
mla/neuralnet/optimizers.py:191
Method
update
(self, network)
mla/neuralnet/optimizers.py:229
Function
wrapper
(a, b)
mla/metrics/base.py:21
Function
wrapper
(actual, predicted)
mla/metrics/metrics.py:10
Function
zero
(shape, **kwargs)
mla/neuralnet/initializations.py:18
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