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

⨍ Functions 1,092◇ Types & classes 147
↓ 2 callersMethods2x
(self, s)
rl/approx_semigradient_td0_prediction.py:15
↓ 2 callersMethodsa2x
(self, s, a)
rl/approx_semigradient_sarsa_control.py:22
↓ 2 callersMethodsample
(self)
unsupervised_class3/bayes_classifier_gmm.py:44
↓ 2 callersMethodsample
(self)
ab_testing/bayesian_bandit.py:22
↓ 2 callersMethodsample_action
(self, s, eps)
rl2/mountaincar/td_lambda.py:64
↓ 2 callersMethodsample_action
(self, X)
rl2/cartpole/pg_theano.py:105
↓ 2 callersFunctionsample_from_prior
(c0, m0, a0, B0)
bayesian_ml/4/npbgmm.py:54
↓ 2 callersMethodsample_given_y
(self, y)
unsupervised_class3/bayes_classifier_gmm.py:31
↓ 2 callersMethodsample_given_y
(self, y)
unsupervised_class3/bayes_classifier_gaussian.py:31
↓ 2 callersMethodsave
(self, filename)
ann_class2/tf_with_save.py:101
↓ 2 callersFunctionscale_image
(im)
unsupervised_class3/util.py:99
↓ 2 callersMethodscore
(self, trees, idx2word=None)
nlp_class2/recursive_theano.py:161
↓ 2 callersMethodscore
(self, trees)
nlp_class2/recursive_tensorflow.py:164
↓ 2 callersMethodscore
(self, trees)
nlp_class2/rntn_theano.py:154
↓ 2 callersMethodscore
(self, trees)
nlp_class2/rntn_tensorflow.py:189
↓ 2 callersMethodscore
(self, X, Y)
supervised_class2/bagging_classification.py:69
↓ 2 callersMethodscore
(self, X, Y)
supervised_class2/bagging_regression.py:54
↓ 2 callersMethodscore
(self, X, Y)
bayesian_ml/2/probit.py:58
↓ 2 callersMethodscore
(self, X, Y)
bayesian_ml/1/nb.py:75
↓ 2 callersMethodscore
(self, X, Y)
supervised_class/dt.py:169
↓ 2 callersMethodscore
(self, X, Y)
supervised_class/bayes.py:25
↓ 2 callersMethodscore
(self, X, Y)
supervised_class/nb.py:28
↓ 2 callersMethodscore
(self, X, Y)
airline/rnn.py:105
↓ 2 callersMethodset
(self, pi, A, B)
hmm_class/hmmd_theano.py:99
↓ 2 callersMethodset
(self, pi, A, R, mu, sigma)
hmm_class/hmmc_theano.py:89
↓ 2 callersMethodset
(self, preSoftmaxPi, preSoftmaxA, preSoftmaxB)
hmm_class/hmmd_theano2.py:93
↓ 2 callersMethodset
(self, preSoftmaxPi, preSoftmaxA, preSoftmaxR, mu, sigmaFactor)
hmm_class/hmmc_theano2.py:85
↓ 2 callersMethodset
(self, Wx, Wh, bh, h0, Wo, bo, activation)
rnn_class/poetry_classifier.py:105
↓ 2 callersMethodset
(self, We, Wx, Wh, bh, h0, Wxz, Whz, bz, Wo, bo, activation)
rnn_class/rrnn_language.py:113
↓ 2 callersMethodsetV
(self, V)
rl/tic_tac_toe.py:33
↓ 2 callersMethodset_session
(self, session)
hmm_class/hmmc_tf.py:26
↓ 2 callersMethodset_session
(self, session)
rl2/atari/dqn_tf.py:124
↓ 2 callersMethodset_session
(self, session)
rl2/atari/dqn_tf_alt.py:174
↓ 2 callersMethodset_session
(self, session)
rl2/mountaincar/pg_tf_random.py:103
↓ 2 callersMethodset_session
(self, session)
rl2/cartpole/dqn_tf.py:89
↓ 2 callersMethodset_session
(self, session)
unsupervised_class2/autoencoder_tf.py:103
↓ 2 callersFunctionsigmoid
(x)
nlp_class2/word2vec.py:20
↓ 2 callersFunctionsigmoid
(z)
logistic_regression_class/logistic3.py:36
↓ 2 callersFunctionsigmoid
(z)
logistic_regression_class/logistic_donut.py:50
↓ 2 callersFunctionsigmoid
(z)
logistic_regression_class/l1_regularization.py:8
↓ 2 callersFunctionsigmoid
(z)
logistic_regression_class/logistic2.py:36
↓ 2 callersFunctionsigmoid
(z)
logistic_regression_class/logistic_xor.py:36
↓ 2 callersFunctionsigmoid
(z)
logistic_regression_class/logistic4.py:36
↓ 2 callersFunctionstr2tree
(s, word2idx)
nlp_class2/util.py:58
↓ 2 callersFunctiontokens_to_vector
(tokens, label)
nlp_class/sentiment.py:82
↓ 2 callersFunctiontotal_f1_score
(T, Y)
nlp_class2/pos_hmm.py:28
↓ 2 callersMethodtransform
(self, df)
supervised_class2/rf_regression.py:43
↓ 2 callersMethodtransform
(self, observation)
rl2/cartpole/q_learning_bins.py:40
↓ 2 callersFunctiontree2list
(tree, parent_idx, is_binary=False, is_left=False, is_right=False)
nlp_class2/recursive_theano.py:185
↓ 2 callersFunctiontree2list
(tree, parent_idx, is_binary=False)
nlp_class2/rntn_theano.py:183
↓ 2 callersMethodupdate
(self, x)
ab_testing/bayesian_bandit.py:25
↓ 2 callersMethodupdate
(self, env)
rl/tic_tac_toe.py:112
↓ 2 callersMethodupdate
(self, x)
rl/ucb1.py:23
↓ 2 callersMethodupdate
(self, x)
rl/comparing_explore_exploit_methods.py:29
↓ 2 callersMethodupdate_state_history
(self, s)
rl/tic_tac_toe.py:105
↓ 2 callersFunctiony2indicator
(y)
rnn_class/renet_mnist.py:24
↓ 2 callersFunctiony2indicator
(y, K)
ann_logistic_extra/logistic_softmax_train.py:7
↓ 2 callersFunctiony2indicator
(y, K)
ann_logistic_extra/ann_train.py:7
↓ 1 callersFunctionDBI
(X, M, R)
unsupervised_class/kmeans_mnist.py:43
↓ 1 callersFunctionadam
(cost, params, lr0=1e-2, beta1=0.9, beta2=0.999, eps=1e-8)
rl2/cartpole/dqn_theano.py:22
↓ 1 callersMethodadd_experience
(self, s, a, r, s2, done)
rl2/cartpole/dqn_tf.py:135
↓ 1 callersMethodadd_experience
(self, s, a, r, s2, done)
rl2/cartpole/dqn_theano.py:151
↓ 1 callersFunctionannotate1
(X, index_word_map, eps=0.1)
unsupervised_class/books.py:197
↓ 1 callersFunctionbenchmark_pca
()
ann_class2/util.py:239
↓ 1 callersMethodbuild
(self, preSoftmaxPi, preSoftmaxA, preSoftmaxB)
hmm_class/hmmd_tf.py:57
↓ 1 callersMethodbuild
(self, preSoftmaxPi, preSoftmaxA, preSoftmaxR, mu, logSigma)
hmm_class/hmmc_tf.py:46
↓ 1 callersMethodbuild
(self, D, M)
unsupervised_class2/rbm_tf.py:26
↓ 1 callersMethodbuild
(self, D, M)
unsupervised_class2/autoencoder_tf.py:25
↓ 1 callersMethodbuild_discriminator
(self, X, d_sizes)
unsupervised_class3/dcgan_tf.py:256
↓ 1 callersMethodbuild_discriminator
(self, X, d_sizes)
unsupervised_class3/dcgan_theano.py:308
↓ 1 callersMethodbuild_final_layer
(self, D, M, K)
unsupervised_class2/autoencoder_tf.py:108
↓ 1 callersMethodbuild_generator
(self, Z, g_sizes)
unsupervised_class3/dcgan_tf.py:311
↓ 1 callersMethodbuild_generator
(self, Z, g_sizes)
unsupervised_class3/dcgan_theano.py:366
↓ 1 callersFunctionbuild_state
(features)
rl2/cartpole/q_learning_bins.py:22
↓ 1 callersFunctionceleb
()
unsupervised_class3/dcgan_tf.py:503
↓ 1 callersFunctionclassification_rate
(Y, P)
ann_class/forwardprop.py:44
↓ 1 callersFunctionclassification_rate
(Y, P)
ann_class/backprop.py:23
↓ 1 callersFunctionclassification_rate
(Y, P)
ann_logistic_extra/logistic_predict.py:22
↓ 1 callersFunctionclassification_rate
(Y, P)
ann_logistic_extra/ann_predict.py:28
↓ 1 callersMethodconfusion_matrix
(self, X, Y)
bayesian_ml/2/probit.py:61
↓ 1 callersMethodconfusion_matrix
(self, X, Y)
bayesian_ml/1/nb.py:78
↓ 1 callersMethodcopy
(self)
rl2/mountaincar/pg_theano_random.py:119
↓ 1 callersMethodcopy_from
(self, other)
rl2/atari/dqn_tf.py:110
↓ 1 callersMethodcopy_from
(self, other)
rl2/atari/dqn_theano.py:200
↓ 1 callersMethodcopy_from
(self, other)
rl2/atari/dqn_tf_alt.py:177
↓ 1 callersMethodcopy_from
(self, other)
rl2/mountaincar/pg_tf_random.py:143
↓ 1 callersMethodcopy_from
(self, other)
rl2/mountaincar/pg_theano_random.py:124
↓ 1 callersMethodcopy_from
(self, other)
rl2/cartpole/dqn_tf.py:92
↓ 1 callersMethodcopy_from
(self, other)
rl2/cartpole/dqn_theano.py:120
↓ 1 callersFunctioncost
(T, Y)
ann_class/batch_donut.py:49
↓ 1 callersFunctioncost
(T, Y)
ann_class/backprop.py:95
↓ 1 callersFunctioncost
(X, R, M)
unsupervised_class/books.py:77
↓ 1 callersFunctioncost
(X, R, M)
unsupervised_class/kmeans_visualize.py:12
↓ 1 callersMethodcreateFromArrays
(W, c, b, an_id)
unsupervised_class2/rbm.py:110
↓ 1 callersFunctioncrop_and_resave
(inputfile, outputdir)
unsupervised_class3/util.py:83
↓ 1 callersFunctioncross_entropy
(T, Y)
logistic_regression_class/logistic3.py:43
↓ 1 callersFunctioncross_entropy
(T, Y)
logistic_regression_class/logistic_donut.py:57
↓ 1 callersFunctioncross_entropy
(T, Y)
logistic_regression_class/logistic_xor.py:43
↓ 1 callersFunctioncross_entropy
(T, Y)
logistic_regression_class/logistic4.py:43
↓ 1 callersFunctiond
(u, v)
unsupervised_class/books.py:73
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