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

⨍ Functions 1,092◇ Types & classes 147
↓ 1 callersFunctiongenerate
()
hmm_class/frost.py:78
↓ 1 callersMethodgenerate
(self, word2idx)
rnn_class/rrnn_language.py:158
↓ 1 callersMethodgenerate
(self, pi, word2idx)
rnn_class/srn_language_tf.py:179
↓ 1 callersMethodgenerate
(self, pi, word2idx)
rnn_class/srn_language.py:173
↓ 1 callersFunctiongenerate_poetry
()
rnn_class/rrnn_language.py:194
↓ 1 callersFunctiongenerate_poetry
(session, savefile)
rnn_class/srn_language_tf.py:215
↓ 1 callersFunctiongenerate_poetry
()
rnn_class/srn_language.py:209
↓ 1 callersFunctiongenerate_sequence
(N)
hmm_class/generate_ht.py:15
↓ 1 callersFunctiongetImageData
()
cnn_class/cifar.py:37
↓ 1 callersMethodget_3_misclassified
(self, X, Y)
bayesian_ml/2/probit.py:70
↓ 1 callersMethodget_3_misclassified
(self, X, Y)
bayesian_ml/1/nb.py:87
↓ 1 callersMethodget_3_most_ambiguous
(self, X, Y)
bayesian_ml/2/probit.py:76
↓ 1 callersMethodget_3_most_ambiguous
(self, X, Y)
bayesian_ml/1/nb.py:93
↓ 1 callersFunctionget_action
(s, w)
rl2/cartpole/random_search.py:13
↓ 1 callersFunctionget_action
(s, w)
rl2/cartpole/save_a_video.py:14
↓ 1 callersFunctionget_confirm_token
(response)
unsupervised_class3/util.py:132
↓ 1 callersFunctionget_cost
(X, K, cluster_assignments, phi, alphas, mu_means, mu_covs, a, B, orig_alphas, orig_c, orig_a, orig_B)
bayesian_ml/4/vigmm.py:11
↓ 1 callersMethodget_cost
(self, x)
hmm_class/hmmd_tf.py:44
↓ 1 callersMethodget_cost
(self, x)
hmm_class/hmmd_theano.py:86
↓ 1 callersMethodget_cost
(self, x)
hmm_class/hmmd_theano2.py:80
↓ 1 callersMethodget_cost
(self, x)
hmm_class/hmmc_tf.py:164
↓ 1 callersMethodget_cost
(self, logits, labels, reg)
nlp_class2/recursive_tensorflow.py:129
↓ 1 callersMethodget_cost
(self, logits, labels, reg)
nlp_class2/rntn_tensorflow.py:147
↓ 1 callersFunctionget_data
()
hmm_class/hmm_classifier.py:49
↓ 1 callersFunctionget_data
()
supervised_class2/rf_regression.py:60
↓ 1 callersFunctionget_data
()
supervised_class/perceptron.py:9
↓ 1 callersFunctionget_data
()
supervised_class/knn_fail.py:7
↓ 1 callersFunctionget_data
(limit=None)
unsupervised_class/kmeans_mnist.py:15
↓ 1 callersFunctionget_donut
()
supervised_class/util.py:32
↓ 1 callersFunctionget_donut_data
()
unsupervised_class2/tsne_donut.py:9
↓ 1 callersFunctionget_mnist
(limit=None)
unsupervised_class3/util.py:19
↓ 1 callersMethodget_output_recursive
(self, tree, list_of_logits, is_root=True)
nlp_class2/recursive_tensorflow.py:137
↓ 1 callersMethodget_output_recursive
(self, tree, list_of_logits, is_root=True)
nlp_class2/rntn_tensorflow.py:155
↓ 1 callersFunctionget_p_value
(T)
ab_testing/chisquare.py:38
↓ 1 callersFunctionget_poetry_classifier_data
(samples_per_class, load_cached=True, save_cached=True)
rnn_class/util.py:159
↓ 1 callersFunctionget_sentences_with_word2idx
()
rnn_class/brown.py:17
↓ 1 callersFunctionget_simple_xor
()
supervised_class/perceptron.py:17
↓ 1 callersFunctionget_state_hash_and_winner
(env, i=0, j=0)
rl/tic_tac_toe.py:275
↓ 1 callersMethodget_state_sequence
(self, x)
hmm_class/hmmd_scaled.py:139
↓ 1 callersFunctionget_tags
(s)
hmm_class/hmm_classifier.py:45
↓ 1 callersFunctionget_tags
(s)
rnn_class/util.py:155
↓ 1 callersFunctionget_xor
()
supervised_class/util.py:23
↓ 1 callersFunctionget_xor_data
()
unsupervised_class2/tsne_xor.py:9
↓ 1 callersFunctiongmm
(X, T=500)
bayesian_ml/4/npbgmm.py:75
↓ 1 callersFunctiongmm
(X, K, max_iter=20, smoothing=10e-3)
bayesian_ml/4/emgmm.py:10
↓ 1 callersFunctiongmm
(X, K, max_iter=100)
bayesian_ml/4/vigmm.py:98
↓ 1 callersMethodgrad
(self, s)
rl/approx_semigradient_td0_prediction.py:22
↓ 1 callersFunctiongrid_search
()
ann_class2/grid_search.py:18
↓ 1 callersFunctionimage2array
(im)
cnn_class/cifar.py:32
↓ 1 callersMethodinformation_gain
(self, x, y, split)
supervised_class/dt.py:112
↓ 1 callersFunctioninit_filter
(shape, poolsz)
cnn_class/cifar.py:23
↓ 1 callersFunctioninit_filter
(shape)
rl2/atari/dqn_theano.py:60
↓ 1 callersMethodinit_random
(self, V)
hmm_class/hmmd_tf.py:92
↓ 1 callersFunctioninit_weight
(M1, M2)
ann_class2/theano_ann.py:14
↓ 1 callersFunctioninit_weight
(M1, M2)
airline/ann.py:12
↓ 1 callersFunctioninitialV_o
(env, state_winner_triples)
rl/tic_tac_toe.py:352
↓ 1 callersFunctioninitialV_x
(env, state_winner_triples)
rl/tic_tac_toe.py:334
↓ 1 callersFunctionlearn
(model, target_model, experience_replay_buffer, gamma, batch_size)
rl2/atari/dqn_tf.py:148
↓ 1 callersFunctionlearn
(model, target_model, experience_replay_buffer, gamma, batch_size)
rl2/atari/dqn_theano.py:222
↓ 1 callersFunctionlearn
(model, target_model, experience_replay_buffer, gamma, batch_size)
rl2/atari/dqn_tf_alt.py:213
↓ 1 callersMethodlikelihood
(self, x)
hmm_class/hmmc.py:173
↓ 1 callersMethodlikelihood
(self, x)
hmm_class/hmmc_concat.py:175
↓ 1 callersMethodlikelihood
(self, x)
hmm_class/hmmd.py:140
↓ 1 callersMethodlikelihood_multi
(self, X)
hmm_class/hmmc.py:191
↓ 1 callersMethodlikelihood_multi
(self, X)
hmm_class/hmmc_concat.py:193
↓ 1 callersMethodlikelihood_multi
(self, X)
hmm_class/hmmd.py:150
↓ 1 callersMethodload
(filename)
ann_class2/tf_with_save.py:111
↓ 1 callersMethodload
(filename, activation)
rnn_class/rrnn_language.py:94
↓ 1 callersMethodload
(filename, activation, session)
rnn_class/srn_language_tf.py:163
↓ 1 callersMethodload
(filename, UnsupervisedModel=AutoEncoder)
unsupervised_class2/unsupervised.py:99
↓ 1 callersMethodlog_likelihood
(self, x)
hmm_class/hmmd_tf.py:50
↓ 1 callersMethodlog_likelihood
(self, x)
hmm_class/hmmd_scaled.py:121
↓ 1 callersFunctionmain
()
hmm_class/generate_ht.py:26
↓ 1 callersFunctionmain
()
hmm_class/hmm_classifier.py:79
↓ 1 callersFunctionmain
()
ann_class2/dropout_theano.py:163
↓ 1 callersFunctionmain
()
ann_class2/tensorflow2.py:22
↓ 1 callersFunctionmain
()
ann_class2/sgd.py:26
↓ 1 callersFunctionmain
()
ann_class2/rmsprop.py:14
↓ 1 callersFunctionmain
()
ann_class2/theano_gpu.py:25
↓ 1 callersFunctionmain
()
ann_class2/momentum.py:18
↓ 1 callersFunctionmain
()
ann_class2/dropout_tensorflow.py:123
↓ 1 callersFunctionmain
()
ann_class2/tf_with_save.py:117
↓ 1 callersFunctionmain
()
ann_class2/theano2.py:25
↓ 1 callersFunctionmain
()
ann_class/backprop.py:100
↓ 1 callersFunctionmain
()
cnn_class/benchmark.py:71
↓ 1 callersFunctionmain
()
cnn_class/cnn_theano_plot_filters.py:22
↓ 1 callersFunctionmain
()
cnn_class/cnn_theano.py:63
↓ 1 callersFunctionmain
()
cnn_class/cifar.py:225
↓ 1 callersFunctionmain
()
cnn_class/cnn_tf.py:51
↓ 1 callersFunctionmain
()
cnn_class/edge_benchmark.py:50
↓ 1 callersFunctionmain
()
rnn_class/renet_mnist.py:114
↓ 1 callersFunctionmain
(we_file='word_embeddings.npy', w2i_file='wikipedia_word2idx.json', Model=PCA)
rnn_class/visualize_embeddings.py:9
↓ 1 callersFunctionmain
(ReUnit=RNNUnit, getData=getMNIST)
rnn_class/renet.py:330
↓ 1 callersFunctionmain
(use_brown=True)
nlp_class2/word2vec.py:285
↓ 1 callersFunctionmain
(is_binary=True)
nlp_class2/recursive_theano.py:231
↓ 1 callersFunctionmain
()
nlp_class2/ner_baseline.py:102
↓ 1 callersFunctionmain
(smoothing=1e-1)
nlp_class2/pos_hmm.py:39
↓ 1 callersFunctionmain
()
nlp_class2/recursive_tensorflow.py:202
↓ 1 callersFunctionmain
(is_binary=True)
nlp_class2/rntn_theano.py:217
↓ 1 callersFunctionmain
()
nlp_class2/pos_rnn.py:130
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