Functions — github.com/csawtelle/udemy-machine-learning-examples

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Functions1,092 in github.com/csawtelle/udemy-machine-learning-examples

⨍ Functions 1,092◇ Types & classes 147

↓ 1 callersFunctiontrain_wikipedia

(we_file='word_embeddings.npy', w2i_file='wikipedia_word2idx.json', RecurrentUnit=GRU)

rnn_class/wiki.py:132

↓ 1 callersMethodtransform

(self, df)

supervised_class2/rf_classification.py:46

↓ 1 callersMethodtransform

(self, X)

unsupervised_class3/vae_tf.py:188

↓ 1 callersMethodtransform

(self, X)

unsupervised_class2/autoencoder_tf.py:67

↓ 1 callersFunctionucb

(mean, n, nj)

rl/ucb1.py:28

↓ 1 callersMethodupdate

(self, states, actions, targets)

rl2/atari/dqn_tf.py:130

↓ 1 callersMethodupdate

(self, states, actions, targets)

rl2/atari/dqn_theano.py:210

↓ 1 callersMethodupdate

(self, states, actions, targets)

rl2/atari/dqn_tf_alt.py:192

↓ 1 callersMethodupdate

(self, s, a, G)

rl2/mountaincar/q_learning.py:81

↓ 1 callersMethodupdate

(self, s, a, G)

rl2/cartpole/q_learning.py:78

↓ 1 callersMethodupdate

(self, s, a, G)

rl2/cartpole/q_learning_bins.py:64

↓ 1 callersMethodupdate

(self, s, a, G, gamma, lambda_)

rl2/cartpole/td_lambda.py:57

↓ 1 callersMethodupdate

(self, x)

rl/comparing_epsilons.py:21

↓ 1 callersMethodupdate

(self, x)

rl/optimistic_initial_values.py:22

↓ 1 callersFunctionupdate_state

(state, obs)

rl2/atari/dqn_tf.py:50

↓ 1 callersFunctionupdate_state

(state, obs)

rl2/atari/dqn_theano.py:52

↓ 1 callersFunctionupdate_state

(state, obs)

rl2/atari/dqn_tf_alt.py:50

↓ 1 callersFunctionwide

()

rnn_class/mlp_parity.py:118

↓ 1 callersFunctionx2sequence

(x, T, D, batch_sz)

rnn_class/tf_parity.py:23

Method__init__

(self, M, K)

hmm_class/hmmc_scaled_concat.py:17

Method__init__

(self, M)

hmm_class/hmmd_tf.py:17

Method__init__

(self, M, K)

hmm_class/hmmc_scaled_concat_diag.py:17

hmm_class/hmmd_theano.py:17

Method__init__

(self, M, K)

hmm_class/hmmc_concat.py:19

Method__init__

(self, M, K)

hmm_class/hmmc_theano.py:20

Method__init__

(self, M)

hmm_class/hmmd_theano2.py:25

Method__init__

(self, M, K)

hmm_class/hmmc_theano2.py:28

Method__init__

(self, M, K, D)

hmm_class/hmmc_tf.py:21

Method__init__

(self)

hmm_class/hmm_classifier.py:14

hmm_class/hmmd_scaled.py:15

Method__init__

(self, M1, M2, an_id)

ann_class2/dropout_theano.py:19

Method__init__

(self, hidden_layer_sizes, p_keep)

ann_class2/dropout_theano.py:34

Method__init__

(self, M1, M2)

ann_class2/dropout_tensorflow.py:13

Method__init__

(self, hidden_layer_sizes, p_keep)

ann_class2/dropout_tensorflow.py:27

Method__init__

(self, M1, M2, f)

ann_class2/theano_ann.py:19

Method__init__

(self, hidden_layer_sizes)

ann_class2/theano_ann.py:36

Method__init__

(self, savefile, D=None, K=None)

ann_class2/tf_with_save.py:18

Method__init__

(self, M1, M2, an_id)

cnn_class/cifar.py:71

Method__init__

(self, mi, mo, fw=5, fh=5, poolsz=(2, 2))

cnn_class/cifar.py:85

Method__init__

(self, convpool_layer_sizes, hidden_layer_sizes)

cnn_class/cifar.py:107

Method__init__

(self, M, V)

rnn_class/poetry_classifier.py:13

Method__init__

(self, M)

rnn_class/srn_parity_tf.py:12

Method__init__

(self, Mi, Mo, activation)

rnn_class/lstm_wiki.py:11

Method__init__

(self, M)

rnn_class/batch_parity.py:13

Method__init__

(self, M1, M2, an_id)

rnn_class/mlp_parity.py:13

Method__init__

(self, hidden_layer_sizes)

rnn_class/mlp_parity.py:28

Method__init__

(self, D, hidden_layer_sizes, V)

rnn_class/batch_wiki.py:19

Method__init__

(self, Mi, Mo, activation)

rnn_class/gru.py:11

Method__init__

(self, M)

rnn_class/tf_parity.py:35

Method__init__

(self, D, M, V)

rnn_class/rrnn_language.py:13

Method__init__

(self, M)

rnn_class/srn_parity.py:13

Method__init__

(self, name, wp, hp, C, M)

rnn_class/renet.py:54

Method__init__

(self, name, wp, hp, C, M)

rnn_class/renet.py:108

Method__init__

(self, Mi, Mo, activation)

rnn_class/batch_gru.py:11

Method__init__

(self, D, M, V, f, session)

rnn_class/srn_language_tf.py:12

Method__init__

(self, D, hidden_layer_sizes, V)

rnn_class/wiki.py:19

Method__init__

(self, Mi, Mo, activation)

rnn_class/lstm.py:11

Method__init__

(self, D, M, V)

rnn_class/srn_language.py:13

Method__init__

(self, D, V, context_sz)

nlp_class2/word2vec.py:29

Method__init__

(self, V, D, K)

nlp_class2/recursive_theano.py:16

Method__init__

(self, V, D, K, activation)

nlp_class2/recursive_tensorflow.py:25

Method__init__

(self, V, D, K)

nlp_class2/rntn_theano.py:17

Method__init__

(self, D, hidden_layer_sizes, V)

nlp_class2/pos_rnn.py:20

Method__init__

(self, word, label)

nlp_class2/util.py:36

Method__init__

(self, V, D, K, activation)

nlp_class2/rntn_tensorflow.py:36

Method__init__

(self, D, V, context_sz)

nlp_class2/glove.py:27

Method__init__

(self)

nlp_class2/pos_baseline.py:18

Method__init__

(self, n_estimators)

supervised_class2/rf_vs_bag2.py:31

Method__init__

(self, B)

supervised_class2/bagging_classification.py:47

Method__init__

(self, n_estimators, max_depth=None)

supervised_class2/util.py:26

Method__init__

(self, n_estimators, max_depth=None)

supervised_class2/util.py:55

Method__init__

(self, B)

supervised_class2/bagging_regression.py:33

Method__init__

(self, M)

supervised_class2/adaboost.py:10

Method__init__

(self, D, M)

unsupervised_class3/autoencoder_tf.py:15

Method__init__

(self, M1, M2, f=T.nnet.relu)

unsupervised_class3/vae_theano.py:18

Method__init__

(self, D, hidden_layer_sizes)

unsupervised_class3/vae_theano.py:29

Method__init__

(self, D, M)

unsupervised_class3/autoencoder_theano.py:16

Method__init__

(self, name, mi, mo, apply_batch_norm, filtersz=5, stride=2, f=tf.nn.relu)

unsupervised_class3/dcgan_tf.py:36

Method__init__

(self, name, mi, mo, output_shape, apply_batch_norm, filtersz=5, stride=2, f=tf.nn.relu)

unsupervised_class3/dcgan_tf.py:84

Method__init__

(self, name, M1, M2, apply_batch_norm, f=tf.nn.relu)

unsupervised_class3/dcgan_tf.py:134

Method__init__

(self, img_length, num_colors, d_sizes, g_sizes)

unsupervised_class3/dcgan_tf.py:172

Method__init__

(self, mi, mo, apply_batch_norm, filtersz=5, stride=2, f=T.nnet.relu)

unsupervised_class3/dcgan_theano.py:100

Method__init__

(self, mi, mo, output_shape, apply_batch_norm, filtersz=5, stride=2, f=T.nnet.relu)

unsupervised_class3/dcgan_theano.py:152

Method__init__

(self, M1, M2, apply_batch_norm, f=T.nnet.relu)

unsupervised_class3/dcgan_theano.py:201

Method__init__

(self, img_length, num_colors, d_sizes, g_sizes)

unsupervised_class3/dcgan_theano.py:237

Method__init__

(self, M1, M2, f=tf.nn.relu)

unsupervised_class3/vae_tf.py:19

Method__init__

(self, D, hidden_layer_sizes)

unsupervised_class3/vae_tf.py:32

Method__init__

(self, p)

ab_testing/bayesian_bandit.py:14

Method__init__

(self, p1, p2)

ab_testing/chisquare.py:28

Method__init__

(self, K, conv_layer_sizes, hidden_layer_sizes, gamma, scope)

rl2/atari/dqn_tf.py:56

Method__init__

(self, mi, mo, filtsz=5, stride=2, f=T.nnet.relu)

rl2/atari/dqn_theano.py:66

Method__init__

(self, M1, M2, f=T.nnet.relu)

rl2/atari/dqn_theano.py:91

Method__init__

(self, K, conv_layer_sizes, hidden_layer_sizes, gamma)

rl2/atari/dqn_theano.py:103

Method__init__

(self, mi, mo, filtersz=5, stride=2, f=tf.nn.relu)

rl2/atari/dqn_tf_alt.py:59

Method__init__

(self, M1, M2, f=tf.nn.relu, use_bias=True)

rl2/atari/dqn_tf_alt.py:76

Method__init__

(self, K, conv_layer_sizes, hidden_layer_sizes, gamma)

rl2/atari/dqn_tf_alt.py:96

Method__init__

(self, **kwargs)

rl2/mountaincar/n_step.py:29

Method__init__

(self, M1, M2, f=tf.nn.tanh, use_bias=True, zeros=False)

rl2/mountaincar/pg_tf_random.py:21

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