numpy-ml
Machine learning, in NumPy
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Hidden Markov models
Gaussian mixture models
Latent Dirichlet allocation
N-gram smoothing models
Multi-armed bandits
Reinforcement learning
Nonparametric models
Matrix factorization
Tree-based models
Neural networks
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Preprocessing
Utilities
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X
A
act() (numpy_ml.bandits.policies.BanditPolicyBase method)
(numpy_ml.rl_models.agents.CrossEntropyAgent method)
(numpy_ml.rl_models.agents.DynaAgent method)
(numpy_ml.rl_models.agents.MonteCarloAgent method)
(numpy_ml.rl_models.agents.TemporalDifferenceAgent method)
act_fn (numpy_ml.neural_nets.wrappers.wrappers.WrapperBase attribute)
action_stats() (in module numpy_ml.rl_models.rl_utils)
ActivationInitializer (class in numpy_ml.neural_nets.initializers)
AdaGrad (class in numpy_ml.neural_nets.optimizers)
Adam (class in numpy_ml.neural_nets.optimizers)
Add (class in numpy_ml.neural_nets.layers)
AdditiveNGram (class in numpy_ml.ngram)
Affine (class in numpy_ml.neural_nets.activations)
all_paths() (numpy_ml.utils.graphs.Graph method)
args (numpy_ml.utils.testing.DependencyWarning attribute)
autocorrelate1D() (in module numpy_ml.preprocessing.dsp)
B
backward() (numpy_ml.neural_nets.layers.Add method)
(numpy_ml.neural_nets.layers.BatchNorm1D method)
(numpy_ml.neural_nets.layers.BatchNorm2D method)
(numpy_ml.neural_nets.layers.Conv1D method)
(numpy_ml.neural_nets.layers.Conv2D method)
(numpy_ml.neural_nets.layers.Deconv2D method)
(numpy_ml.neural_nets.layers.DotProductAttention method)
(numpy_ml.neural_nets.layers.Embedding method)
(numpy_ml.neural_nets.layers.Flatten method)
(numpy_ml.neural_nets.layers.FullyConnected method)
(numpy_ml.neural_nets.layers.LSTM method)
(numpy_ml.neural_nets.layers.LSTMCell method)
(numpy_ml.neural_nets.layers.LayerNorm1D method)
(numpy_ml.neural_nets.layers.LayerNorm2D method)
(numpy_ml.neural_nets.layers.Multiply method)
(numpy_ml.neural_nets.layers.Pool2D method)
(numpy_ml.neural_nets.layers.RBM method)
(numpy_ml.neural_nets.layers.RNN method)
(numpy_ml.neural_nets.layers.RNNCell method)
(numpy_ml.neural_nets.layers.Softmax method)
(numpy_ml.neural_nets.layers.SparseEvolution method)
(numpy_ml.neural_nets.layers.layers.LayerBase method)
(numpy_ml.neural_nets.models.BernoulliVAE method)
(numpy_ml.neural_nets.models.WGAN_GP method)
(numpy_ml.neural_nets.models.Word2Vec method)
(numpy_ml.neural_nets.modules.BidirectionalLSTM method)
(numpy_ml.neural_nets.modules.MultiHeadedAttentionModule method)
(numpy_ml.neural_nets.modules.SkipConnectionConvModule method)
(numpy_ml.neural_nets.modules.SkipConnectionIdentityModule method)
(numpy_ml.neural_nets.modules.WavenetResidualModule method)
(numpy_ml.neural_nets.wrappers.Dropout method)
(numpy_ml.neural_nets.wrappers.wrappers.WrapperBase method)
BallTree (class in numpy_ml.utils.data_structures)
Bandit (class in numpy_ml.bandits.bandits)
BanditPolicyBase (class in numpy_ml.bandits.policies)
BanditTrainer (class in numpy_ml.bandits.trainer)
base_estimator() (numpy_ml.trees.losses.CrossEntropyLoss method)
(numpy_ml.trees.losses.MSELoss method)
batch_resample() (in module numpy_ml.preprocessing.dsp)
BatchNorm1D (class in numpy_ml.neural_nets.layers)
BatchNorm2D (class in numpy_ml.neural_nets.layers)
BayesianLinearRegressionKnownVariance (class in numpy_ml.linear_models)
BayesianLinearRegressionUnknownVariance (class in numpy_ml.linear_models)
BernoulliBandit (class in numpy_ml.bandits)
BernoulliVAE (class in numpy_ml.neural_nets.models)
BidirectionalLSTM (class in numpy_ml.neural_nets.modules)
bilinear_interpolate() (in module numpy_ml.preprocessing.dsp)
blackman_harris() (in module numpy_ml.utils.windows)
BytePairEncoder (class in numpy_ml.preprocessing.nlp)
bytes_to_chars() (in module numpy_ml.preprocessing.nlp)
C
calc_conv_out_dims() (in module numpy_ml.neural_nets.utils)
calc_fan() (in module numpy_ml.neural_nets.utils)
calc_pad_dims_1D() (in module numpy_ml.neural_nets.utils)
calc_pad_dims_2D() (in module numpy_ml.neural_nets.utils)
CD_update() (numpy_ml.neural_nets.layers.RBM method)
cepstral_lifter() (in module numpy_ml.preprocessing.dsp)
chebyshev() (in module numpy_ml.utils.distance_metrics)
ClassProbEstimator (class in numpy_ml.trees.losses)
codebook (numpy_ml.preprocessing.nlp.BytePairEncoder attribute)
codes (numpy_ml.preprocessing.nlp.HuffmanEncoder attribute)
col2im() (in module numpy_ml.neural_nets.utils)
compare() (numpy_ml.bandits.trainer.BanditTrainer method)
completions() (numpy_ml.ngram.AdditiveNGram method)
(numpy_ml.ngram.GoodTuringNGram method)
(numpy_ml.ngram.MLENGram method)
ConstantScheduler (class in numpy_ml.neural_nets.schedulers)
ContextualBernoulliBandit (class in numpy_ml.bandits)
ContextualLinearBandit (class in numpy_ml.bandits)
Conv1D (class in numpy_ml.neural_nets.layers)
conv1D() (in module numpy_ml.neural_nets.utils)
Conv2D (class in numpy_ml.neural_nets.layers)
conv2D() (in module numpy_ml.neural_nets.utils)
conv2D_naive() (in module numpy_ml.neural_nets.utils)
copy() (numpy_ml.neural_nets.optimizers.optimizers.OptimizerBase method)
(numpy_ml.neural_nets.schedulers.ConstantScheduler method)
(numpy_ml.neural_nets.schedulers.ExponentialScheduler method)
(numpy_ml.neural_nets.schedulers.KingScheduler method)
(numpy_ml.neural_nets.schedulers.NoamScheduler method)
cross_entropy() (numpy_ml.ngram.AdditiveNGram method)
(numpy_ml.ngram.GoodTuringNGram method)
(numpy_ml.ngram.MLENGram method)
CrossEntropy (class in numpy_ml.neural_nets.losses)
CrossEntropyAgent (class in numpy_ml.rl_models.agents)
CrossEntropyLoss (class in numpy_ml.trees.losses)
D
DCT() (in module numpy_ml.preprocessing.dsp)
DecisionTree (class in numpy_ml.trees)
decode() (numpy_ml.hmm.MultinomialHMM method)
Deconv2D (class in numpy_ml.neural_nets.layers)
deconv2D_naive() (in module numpy_ml.neural_nets.utils)
DependencyWarning
derived_variables (numpy_ml.neural_nets.layers.LSTM attribute)
(numpy_ml.neural_nets.layers.RNN attribute)
(numpy_ml.neural_nets.models.BernoulliVAE attribute)
(numpy_ml.neural_nets.models.WGAN_GP attribute)
(numpy_ml.neural_nets.models.Word2Vec attribute)
(numpy_ml.neural_nets.modules.BidirectionalLSTM attribute)
(numpy_ml.neural_nets.modules.MultiHeadedAttentionModule attribute)
(numpy_ml.neural_nets.modules.SkipConnectionConvModule attribute)
(numpy_ml.neural_nets.modules.SkipConnectionIdentityModule attribute)
(numpy_ml.neural_nets.modules.WavenetResidualModule attribute)
(numpy_ml.neural_nets.wrappers.wrappers.WrapperBase attribute)
DFT() (in module numpy_ml.preprocessing.dsp)
dft_bins() (in module numpy_ml.preprocessing.dsp)
Dict (class in numpy_ml.utils.data_structures)
DiGraph (class in numpy_ml.utils.graphs)
dilate() (in module numpy_ml.neural_nets.utils)
DiscreteSampler (class in numpy_ml.utils.data_structures)
DotProductAttention (class in numpy_ml.neural_nets.layers)
Dropout (class in numpy_ml.neural_nets.wrappers)
DynaAgent (class in numpy_ml.rl_models.agents)
E
Edge (class in numpy_ml.utils.graphs)
edges (numpy_ml.utils.graphs.Graph attribute)
ELU (class in numpy_ml.neural_nets.activations)
Embedding (class in numpy_ml.neural_nets.layers)
encode() (numpy_ml.preprocessing.general.FeatureHasher method)
env_stats() (in module numpy_ml.rl_models.rl_utils)
EnvModel (class in numpy_ml.rl_models.rl_utils)
EpsilonGreedy (class in numpy_ml.bandits.policies)
euclidean() (in module numpy_ml.utils.distance_metrics)
Exponential (class in numpy_ml.neural_nets.activations)
ExponentialScheduler (class in numpy_ml.neural_nets.schedulers)
F
FeatureHasher (class in numpy_ml.preprocessing.general)
filter() (numpy_ml.preprocessing.nlp.Vocabulary method)
fit() (numpy_ml.factorization.NMF method)
(numpy_ml.factorization.VanillaALS method)
(numpy_ml.gmm.GMM method)
(numpy_ml.hmm.MultinomialHMM method)
(numpy_ml.linear_models.BayesianLinearRegressionKnownVariance method)
(numpy_ml.linear_models.BayesianLinearRegressionUnknownVariance method)
(numpy_ml.linear_models.GaussianNBClassifier method)
(numpy_ml.linear_models.GeneralizedLinearModel method)
(numpy_ml.linear_models.LinearRegression method)
(numpy_ml.linear_models.LogisticRegression method)
(numpy_ml.linear_models.RidgeRegression method)
(numpy_ml.neural_nets.models.BernoulliVAE method)
(numpy_ml.neural_nets.models.WGAN_GP method)
(numpy_ml.neural_nets.models.Word2Vec method)
(numpy_ml.nonparametric.GPRegression method)
(numpy_ml.nonparametric.KNN method)
(numpy_ml.nonparametric.KernelRegression method)
(numpy_ml.preprocessing.general.OneHotEncoder method)
(numpy_ml.preprocessing.general.Standardizer method)
(numpy_ml.preprocessing.nlp.BytePairEncoder method)
(numpy_ml.preprocessing.nlp.HuffmanEncoder method)
(numpy_ml.preprocessing.nlp.TFIDFEncoder method)
(numpy_ml.preprocessing.nlp.Vocabulary method)
(numpy_ml.trees.DecisionTree method)
(numpy_ml.trees.GradientBoostedDecisionTree method)
(numpy_ml.trees.RandomForest method)
(numpy_ml.trees.losses.ClassProbEstimator method)
(numpy_ml.trees.losses.MeanBaseEstimator method)
(numpy_ml.utils.data_structures.BallTree method)
fit_params() (numpy_ml.lda.SmoothedLDA method)
Flatten (class in numpy_ml.neural_nets.layers)
flush_gradients() (numpy_ml.neural_nets.layers.layers.LayerBase method)
(numpy_ml.neural_nets.layers.LSTM method)
(numpy_ml.neural_nets.layers.LSTMCell method)
(numpy_ml.neural_nets.layers.RNN method)
(numpy_ml.neural_nets.layers.RNNCell method)
(numpy_ml.neural_nets.losses.NCELoss method)
(numpy_ml.neural_nets.models.BernoulliVAE method)
(numpy_ml.neural_nets.models.WGAN_GP method)
(numpy_ml.neural_nets.models.Word2Vec method)
(numpy_ml.neural_nets.wrappers.wrappers.WrapperBase method)
flush_history() (numpy_ml.rl_models.agents.CrossEntropyAgent method)
(numpy_ml.rl_models.agents.DynaAgent method)
(numpy_ml.rl_models.agents.MonteCarloAgent method)
(numpy_ml.rl_models.agents.TemporalDifferenceAgent method)
fn() (numpy_ml.neural_nets.activations.Affine method)
(numpy_ml.neural_nets.activations.ELU method)
(numpy_ml.neural_nets.activations.Exponential method)
(numpy_ml.neural_nets.activations.GELU method)
(numpy_ml.neural_nets.activations.HardSigmoid method)
(numpy_ml.neural_nets.activations.Identity method)
(numpy_ml.neural_nets.activations.LeakyReLU method)
(numpy_ml.neural_nets.activations.ReLU method)
(numpy_ml.neural_nets.activations.SELU method)
(numpy_ml.neural_nets.activations.Sigmoid method)
(numpy_ml.neural_nets.activations.SoftPlus method)
(numpy_ml.neural_nets.activations.Tanh method)
forward() (numpy_ml.neural_nets.layers.Add method)
(numpy_ml.neural_nets.layers.BatchNorm1D method)
(numpy_ml.neural_nets.layers.BatchNorm2D method)
(numpy_ml.neural_nets.layers.Conv1D method)
(numpy_ml.neural_nets.layers.Conv2D method)
(numpy_ml.neural_nets.layers.Deconv2D method)
(numpy_ml.neural_nets.layers.DotProductAttention method)
(numpy_ml.neural_nets.layers.Embedding method)
(numpy_ml.neural_nets.layers.Flatten method)
(numpy_ml.neural_nets.layers.FullyConnected method)
(numpy_ml.neural_nets.layers.LSTM method)
(numpy_ml.neural_nets.layers.LSTMCell method)
(numpy_ml.neural_nets.layers.LayerNorm1D method)
(numpy_ml.neural_nets.layers.LayerNorm2D method)
(numpy_ml.neural_nets.layers.Multiply method)
(numpy_ml.neural_nets.layers.Pool2D method)
(numpy_ml.neural_nets.layers.RBM method)
(numpy_ml.neural_nets.layers.RNN method)
(numpy_ml.neural_nets.layers.RNNCell method)
(numpy_ml.neural_nets.layers.Softmax method)
(numpy_ml.neural_nets.layers.SparseEvolution method)
(numpy_ml.neural_nets.layers.layers.LayerBase method)
(numpy_ml.neural_nets.models.BernoulliVAE method)
(numpy_ml.neural_nets.models.WGAN_GP method)
(numpy_ml.neural_nets.models.Word2Vec method)
(numpy_ml.neural_nets.modules.BidirectionalLSTM method)
(numpy_ml.neural_nets.modules.MultiHeadedAttentionModule method)
(numpy_ml.neural_nets.modules.SkipConnectionConvModule method)
(numpy_ml.neural_nets.modules.SkipConnectionIdentityModule method)
(numpy_ml.neural_nets.modules.WavenetResidualModule method)
(numpy_ml.neural_nets.wrappers.Dropout method)
(numpy_ml.neural_nets.wrappers.wrappers.WrapperBase method)
freeze() (numpy_ml.neural_nets.layers.DotProductAttention method)
(numpy_ml.neural_nets.layers.LSTM method)
(numpy_ml.neural_nets.layers.RNN method)
(numpy_ml.neural_nets.layers.layers.LayerBase method)
(numpy_ml.neural_nets.losses.NCELoss method)
(numpy_ml.neural_nets.wrappers.wrappers.WrapperBase method)
FullyConnected (class in numpy_ml.neural_nets.layers)
G
GaussianBandit (class in numpy_ml.bandits)
GaussianNBClassifier (class in numpy_ml.linear_models)
GELU (class in numpy_ml.neural_nets.activations)
generalized_cosine() (in module numpy_ml.utils.windows)
GeneralizedLinearModel (class in numpy_ml.linear_models)
generate() (numpy_ml.hmm.MultinomialHMM method)
(numpy_ml.ngram.AdditiveNGram method)
(numpy_ml.ngram.GoodTuringNGram method)
(numpy_ml.ngram.MLENGram method)
get_context() (numpy_ml.bandits.ContextualBernoulliBandit method)
(numpy_ml.bandits.ContextualLinearBandit method)
get_embedding() (numpy_ml.neural_nets.models.Word2Vec method)
get_gym_environs() (in module numpy_ml.rl_models.rl_utils)
get_gym_stats() (in module numpy_ml.rl_models.rl_utils)
get_index() (numpy_ml.utils.graphs.Graph method)
get_neighbors() (numpy_ml.utils.graphs.Graph method)
get_vertex() (numpy_ml.utils.graphs.Graph method)
glorot_normal() (in module numpy_ml.neural_nets.utils)
glorot_uniform() (in module numpy_ml.neural_nets.utils)
GMM (class in numpy_ml.gmm)
GoodTuringNGram (class in numpy_ml.ngram)
GPRegression (class in numpy_ml.nonparametric)
grad() (numpy_ml.neural_nets.activations.Affine method)
(numpy_ml.neural_nets.activations.ELU method)
(numpy_ml.neural_nets.activations.Exponential method)
(numpy_ml.neural_nets.activations.GELU method)
(numpy_ml.neural_nets.activations.HardSigmoid method)
(numpy_ml.neural_nets.activations.Identity method)
(numpy_ml.neural_nets.activations.LeakyReLU method)
(numpy_ml.neural_nets.activations.ReLU method)
(numpy_ml.neural_nets.activations.SELU method)
(numpy_ml.neural_nets.activations.Sigmoid method)
(numpy_ml.neural_nets.activations.SoftPlus method)
(numpy_ml.neural_nets.activations.Tanh method)
(numpy_ml.neural_nets.losses.CrossEntropy static method)
(numpy_ml.neural_nets.losses.NCELoss method)
(numpy_ml.neural_nets.losses.SquaredError static method)
(numpy_ml.neural_nets.losses.VAELoss static method)
(numpy_ml.neural_nets.losses.WGAN_GPLoss method)
(numpy_ml.trees.losses.CrossEntropyLoss method)
(numpy_ml.trees.losses.MSELoss method)
grad2() (numpy_ml.neural_nets.activations.Affine method)
(numpy_ml.neural_nets.activations.ELU method)
(numpy_ml.neural_nets.activations.Exponential method)
(numpy_ml.neural_nets.activations.GELU method)
(numpy_ml.neural_nets.activations.HardSigmoid method)
(numpy_ml.neural_nets.activations.Identity method)
(numpy_ml.neural_nets.activations.LeakyReLU method)
(numpy_ml.neural_nets.activations.ReLU method)
(numpy_ml.neural_nets.activations.SELU method)
(numpy_ml.neural_nets.activations.Sigmoid method)
(numpy_ml.neural_nets.activations.SoftPlus method)
(numpy_ml.neural_nets.activations.Tanh method)
GradientBoostedDecisionTree (class in numpy_ml.trees)
gradients (numpy_ml.neural_nets.layers.LSTM attribute)
(numpy_ml.neural_nets.layers.RNN attribute)
(numpy_ml.neural_nets.models.BernoulliVAE attribute)
(numpy_ml.neural_nets.models.WGAN_GP attribute)
(numpy_ml.neural_nets.models.Word2Vec attribute)
(numpy_ml.neural_nets.modules.BidirectionalLSTM attribute)
(numpy_ml.neural_nets.modules.MultiHeadedAttentionModule attribute)
(numpy_ml.neural_nets.modules.SkipConnectionConvModule attribute)
(numpy_ml.neural_nets.modules.SkipConnectionIdentityModule attribute)
(numpy_ml.neural_nets.modules.WavenetResidualModule attribute)
(numpy_ml.neural_nets.wrappers.wrappers.WrapperBase attribute)
Graph (class in numpy_ml.utils.graphs)
greedy_policy() (numpy_ml.rl_models.agents.CrossEntropyAgent method)
(numpy_ml.rl_models.agents.DynaAgent method)
(numpy_ml.rl_models.agents.MonteCarloAgent method)
(numpy_ml.rl_models.agents.TemporalDifferenceAgent method)
H
hamming() (in module numpy_ml.utils.distance_metrics)
(in module numpy_ml.utils.windows)
hann() (in module numpy_ml.utils.windows)
HardSigmoid (class in numpy_ml.neural_nets.activations)
he_normal() (in module numpy_ml.neural_nets.utils)
he_uniform() (in module numpy_ml.neural_nets.utils)
HuffmanEncoder (class in numpy_ml.preprocessing.nlp)
hyperparameters (numpy_ml.bandits.bandits.Bandit attribute)
(numpy_ml.bandits.BernoulliBandit attribute)
(numpy_ml.bandits.ContextualBernoulliBandit attribute)
(numpy_ml.bandits.ContextualLinearBandit attribute)
(numpy_ml.bandits.GaussianBandit attribute)
(numpy_ml.bandits.MultinomialBandit attribute)
(numpy_ml.bandits.ShortestPathBandit attribute)
(numpy_ml.bandits.policies.BanditPolicyBase attribute)
(numpy_ml.bandits.policies.EpsilonGreedy attribute)
(numpy_ml.bandits.policies.LinUCB attribute)
(numpy_ml.bandits.policies.ThompsonSamplingBetaBinomial attribute)
(numpy_ml.bandits.policies.UCB1 attribute)
(numpy_ml.factorization.NMF attribute)
(numpy_ml.factorization.VanillaALS attribute)
(numpy_ml.neural_nets.layers.Add attribute)
(numpy_ml.neural_nets.layers.BatchNorm1D attribute)
(numpy_ml.neural_nets.layers.BatchNorm2D attribute)
(numpy_ml.neural_nets.layers.Conv1D attribute)
(numpy_ml.neural_nets.layers.Conv2D attribute)
(numpy_ml.neural_nets.layers.Deconv2D attribute)
(numpy_ml.neural_nets.layers.DotProductAttention attribute)
(numpy_ml.neural_nets.layers.Embedding attribute)
(numpy_ml.neural_nets.layers.Flatten attribute)
(numpy_ml.neural_nets.layers.FullyConnected attribute)
(numpy_ml.neural_nets.layers.LSTM attribute)
(numpy_ml.neural_nets.layers.LSTMCell attribute)
(numpy_ml.neural_nets.layers.LayerNorm1D attribute)
(numpy_ml.neural_nets.layers.LayerNorm2D attribute)
(numpy_ml.neural_nets.layers.Multiply attribute)
(numpy_ml.neural_nets.layers.Pool2D attribute)
(numpy_ml.neural_nets.layers.RBM attribute)
(numpy_ml.neural_nets.layers.RNN attribute)
(numpy_ml.neural_nets.layers.RNNCell attribute)
(numpy_ml.neural_nets.layers.Softmax attribute)
(numpy_ml.neural_nets.layers.SparseEvolution attribute)
(numpy_ml.neural_nets.losses.NCELoss attribute)
(numpy_ml.neural_nets.models.BernoulliVAE attribute)
(numpy_ml.neural_nets.models.WGAN_GP attribute)
(numpy_ml.neural_nets.models.Word2Vec attribute)
(numpy_ml.neural_nets.modules.BidirectionalLSTM attribute)
(numpy_ml.neural_nets.modules.MultiHeadedAttentionModule attribute)
(numpy_ml.neural_nets.modules.SkipConnectionConvModule attribute)
(numpy_ml.neural_nets.modules.SkipConnectionIdentityModule attribute)
(numpy_ml.neural_nets.modules.WavenetResidualModule attribute)
(numpy_ml.neural_nets.wrappers.wrappers.WrapperBase attribute)
(numpy_ml.preprocessing.general.Standardizer attribute)
hz2mel() (in module numpy_ml.preprocessing.dsp)
I
Identity (class in numpy_ml.neural_nets.activations)
im2col() (in module numpy_ml.neural_nets.utils)
indices (numpy_ml.utils.graphs.Graph attribute)
indices_to_words() (numpy_ml.preprocessing.nlp.Vocabulary method)
init_from_dict() (numpy_ml.neural_nets.initializers.OptimizerInitializer method)
(numpy_ml.neural_nets.initializers.SchedulerInitializer method)
init_from_str() (numpy_ml.neural_nets.initializers.ActivationInitializer method)
(numpy_ml.neural_nets.initializers.OptimizerInitializer method)
(numpy_ml.neural_nets.initializers.SchedulerInitializer method)
init_logs() (numpy_ml.bandits.trainer.BanditTrainer method)
initialize_parameters() (numpy_ml.lda.LDA method)
inverse_transform() (numpy_ml.preprocessing.general.OneHotEncoder method)
(numpy_ml.preprocessing.general.Standardizer method)
(numpy_ml.preprocessing.nlp.BytePairEncoder method)
(numpy_ml.preprocessing.nlp.HuffmanEncoder method)
is_acyclic() (numpy_ml.utils.graphs.DiGraph method)
is_binary() (in module numpy_ml.utils.testing)
is_continuous() (in module numpy_ml.rl_models.rl_utils)
is_multidimensional() (in module numpy_ml.rl_models.rl_utils)
is_number() (in module numpy_ml.utils.testing)
is_one_hot() (in module numpy_ml.utils.testing)
is_stochastic() (in module numpy_ml.utils.testing)
is_symmetric() (in module numpy_ml.utils.testing)
is_symmetric_positive_definite() (in module numpy_ml.utils.testing)
is_tuple() (in module numpy_ml.rl_models.rl_utils)
K
KernelRegression (class in numpy_ml.nonparametric)
KingScheduler (class in numpy_ml.neural_nets.schedulers)
KNN (class in numpy_ml.nonparametric)
L
LayerBase (class in numpy_ml.neural_nets.layers.layers)
LayerNorm1D (class in numpy_ml.neural_nets.layers)
LayerNorm2D (class in numpy_ml.neural_nets.layers)
LDA (class in numpy_ml.lda)
LeakyReLU (class in numpy_ml.neural_nets.activations)
learning_rate() (numpy_ml.neural_nets.schedulers.ConstantScheduler method)
(numpy_ml.neural_nets.schedulers.ExponentialScheduler method)
(numpy_ml.neural_nets.schedulers.KingScheduler method)
(numpy_ml.neural_nets.schedulers.NoamScheduler method)
likelihood_lower_bound() (numpy_ml.gmm.GMM method)
line_search() (numpy_ml.trees.losses.CrossEntropyLoss method)
(numpy_ml.trees.losses.MSELoss method)
LinearKernel (class in numpy_ml.utils.kernels)
LinearRegression (class in numpy_ml.linear_models)
LinUCB (class in numpy_ml.bandits.policies)
log_likelihood() (numpy_ml.hmm.MultinomialHMM method)
log_prob() (numpy_ml.ngram.AdditiveNGram method)
(numpy_ml.ngram.GoodTuringNGram method)
(numpy_ml.ngram.MLENGram method)
LogisticRegression (class in numpy_ml.linear_models)
lookup() (numpy_ml.neural_nets.layers.Embedding method)
loss() (numpy_ml.neural_nets.losses.CrossEntropy static method)
(numpy_ml.neural_nets.losses.NCELoss method)
(numpy_ml.neural_nets.losses.SquaredError static method)
(numpy_ml.neural_nets.losses.VAELoss static method)
(numpy_ml.neural_nets.losses.WGAN_GPLoss method)
LSTM (class in numpy_ml.neural_nets.layers)
LSTMCell (class in numpy_ml.neural_nets.layers)
M
magnitude_spectrum() (in module numpy_ml.preprocessing.dsp)
manhattan() (in module numpy_ml.utils.distance_metrics)
marginal_log_likelihood() (numpy_ml.nonparametric.GPRegression method)
MeanBaseEstimator (class in numpy_ml.trees.losses)
mel2hz() (in module numpy_ml.preprocessing.dsp)
mel_filterbank() (in module numpy_ml.preprocessing.dsp)
mel_spectrogram() (in module numpy_ml.preprocessing.dsp)
mfcc() (in module numpy_ml.preprocessing.dsp)
minibatch() (in module numpy_ml.neural_nets.utils)
(in module numpy_ml.preprocessing.general)
minibatcher() (numpy_ml.neural_nets.models.Word2Vec method)
minkowski() (in module numpy_ml.utils.distance_metrics)
MLENGram (class in numpy_ml.ngram)
MonteCarloAgent (class in numpy_ml.rl_models.agents)
most_common() (numpy_ml.preprocessing.nlp.Vocabulary method)
MSELoss (class in numpy_ml.trees.losses)
MultiHeadedAttentionModule (class in numpy_ml.neural_nets.modules)
MultinomialBandit (class in numpy_ml.bandits)
MultinomialHMM (class in numpy_ml.hmm)
Multiply (class in numpy_ml.neural_nets.layers)
N
n_tokens (numpy_ml.preprocessing.nlp.Vocabulary attribute)
n_words (numpy_ml.preprocessing.nlp.Vocabulary attribute)
NCELoss (class in numpy_ml.neural_nets.losses)
nearest_neighbors() (numpy_ml.utils.data_structures.BallTree method)
ngrams() (in module numpy_ml.preprocessing.nlp)
NMF (class in numpy_ml.factorization)
nn_interpolate_1D() (in module numpy_ml.preprocessing.dsp)
nn_interpolate_2D() (in module numpy_ml.preprocessing.dsp)
NoamScheduler (class in numpy_ml.neural_nets.schedulers)
numpy_ml.preprocessing.general (module)
numpy_ml.rl_models.rl_utils (module)
numpy_ml.rl_models.trainer (module)
numpy_ml.trees.losses (module)
numpy_ml.utils.testing (module)
O
obs_stats() (in module numpy_ml.rl_models.rl_utils)
OneHotEncoder (class in numpy_ml.preprocessing.general)
OptimizerBase (class in numpy_ml.neural_nets.optimizers.optimizers)
OptimizerInitializer (class in numpy_ml.neural_nets.initializers)
oracle_payoff() (numpy_ml.bandits.bandits.Bandit method)
(numpy_ml.bandits.BernoulliBandit method)
(numpy_ml.bandits.ContextualBernoulliBandit method)
(numpy_ml.bandits.ContextualLinearBandit method)
(numpy_ml.bandits.GaussianBandit method)
(numpy_ml.bandits.MultinomialBandit method)
(numpy_ml.bandits.ShortestPathBandit method)
outcome_probs() (numpy_ml.rl_models.rl_utils.EnvModel method)
P
pad1D() (in module numpy_ml.neural_nets.utils)
pad2D() (in module numpy_ml.neural_nets.utils)
parameters (numpy_ml.bandits.ContextualLinearBandit attribute)
(numpy_ml.bandits.policies.BanditPolicyBase attribute)
(numpy_ml.bandits.policies.EpsilonGreedy attribute)
(numpy_ml.bandits.policies.LinUCB attribute)
(numpy_ml.bandits.policies.ThompsonSamplingBetaBinomial attribute)
(numpy_ml.bandits.policies.UCB1 attribute)
(numpy_ml.factorization.NMF attribute)
(numpy_ml.factorization.VanillaALS attribute)
(numpy_ml.neural_nets.layers.LSTM attribute)
(numpy_ml.neural_nets.layers.RNN attribute)
(numpy_ml.neural_nets.models.BernoulliVAE attribute)
(numpy_ml.neural_nets.models.WGAN_GP attribute)
(numpy_ml.neural_nets.models.Word2Vec attribute)
(numpy_ml.neural_nets.modules.BidirectionalLSTM attribute)
(numpy_ml.neural_nets.modules.MultiHeadedAttentionModule attribute)
(numpy_ml.neural_nets.modules.SkipConnectionConvModule attribute)
(numpy_ml.neural_nets.modules.SkipConnectionIdentityModule attribute)
(numpy_ml.neural_nets.modules.WavenetResidualModule attribute)
(numpy_ml.neural_nets.wrappers.wrappers.WrapperBase attribute)
(numpy_ml.preprocessing.general.Standardizer attribute)
path_exists() (numpy_ml.utils.graphs.Graph method)
peek() (numpy_ml.utils.data_structures.PriorityQueue method)
perplexity() (numpy_ml.ngram.AdditiveNGram method)
(numpy_ml.ngram.GoodTuringNGram method)
(numpy_ml.ngram.MLENGram method)
plot_rewards() (numpy_ml.rl_models.trainer.Trainer method)
PolynomialKernel (class in numpy_ml.utils.kernels)
Pool2D (class in numpy_ml.neural_nets.layers)
pop() (numpy_ml.utils.data_structures.PriorityQueue method)
power_spectrum() (in module numpy_ml.preprocessing.dsp)
PQNode (class in numpy_ml.utils.data_structures)
predict() (numpy_ml.gmm.GMM method)
(numpy_ml.linear_models.BayesianLinearRegressionKnownVariance method)
(numpy_ml.linear_models.BayesianLinearRegressionUnknownVariance method)
(numpy_ml.linear_models.GaussianNBClassifier method)
(numpy_ml.linear_models.GeneralizedLinearModel method)
(numpy_ml.linear_models.LinearRegression method)
(numpy_ml.linear_models.LogisticRegression method)
(numpy_ml.linear_models.RidgeRegression method)
(numpy_ml.nonparametric.GPRegression method)
(numpy_ml.nonparametric.KNN method)
(numpy_ml.nonparametric.KernelRegression method)
(numpy_ml.trees.DecisionTree method)
(numpy_ml.trees.GradientBoostedDecisionTree method)
(numpy_ml.trees.RandomForest method)
(numpy_ml.trees.losses.ClassProbEstimator method)
(numpy_ml.trees.losses.MeanBaseEstimator method)
predict_class_probs() (numpy_ml.trees.DecisionTree method)
preemphasis() (in module numpy_ml.preprocessing.dsp)
PriorityQueue (class in numpy_ml.utils.data_structures)
pull() (numpy_ml.bandits.bandits.Bandit method)
push() (numpy_ml.utils.data_structures.PriorityQueue method)
R
random_binary_tensor() (in module numpy_ml.utils.testing)
random_DAG() (in module numpy_ml.utils.graphs)
random_one_hot_matrix() (in module numpy_ml.utils.testing)
random_paragraph() (in module numpy_ml.utils.testing)
random_stochastic_matrix() (in module numpy_ml.utils.testing)
random_tensor() (in module numpy_ml.utils.testing)
random_unweighted_graph() (in module numpy_ml.utils.graphs)
RandomForest (class in numpy_ml.trees)
RBFKernel (class in numpy_ml.utils.kernels)
RBM (class in numpy_ml.neural_nets.layers)
reconstruct() (numpy_ml.neural_nets.layers.RBM method)
ReLU (class in numpy_ml.neural_nets.activations)
remove_stop_words() (in module numpy_ml.preprocessing.nlp)
reset() (numpy_ml.bandits.bandits.Bandit method)
(numpy_ml.bandits.policies.BanditPolicyBase method)
reset_running_stats() (numpy_ml.neural_nets.layers.BatchNorm1D method)
(numpy_ml.neural_nets.layers.BatchNorm2D method)
reset_step() (numpy_ml.neural_nets.optimizers.optimizers.OptimizerBase method)
reverse() (numpy_ml.utils.graphs.DiGraph method)
(numpy_ml.utils.graphs.Edge method)
reward_outcome_pairs() (numpy_ml.rl_models.rl_utils.EnvModel method)
RidgeRegression (class in numpy_ml.linear_models)
RMSProp (class in numpy_ml.neural_nets.optimizers)
RNN (class in numpy_ml.neural_nets.layers)
RNNCell (class in numpy_ml.neural_nets.layers)
run_episode() (numpy_ml.rl_models.agents.CrossEntropyAgent method)
(numpy_ml.rl_models.agents.DynaAgent method)
(numpy_ml.rl_models.agents.MonteCarloAgent method)
(numpy_ml.rl_models.agents.TemporalDifferenceAgent method)
S
sample() (numpy_ml.nonparametric.GPRegression method)
(numpy_ml.utils.data_structures.DiscreteSampler method)
SchedulerInitializer (class in numpy_ml.neural_nets.initializers)
SELU (class in numpy_ml.neural_nets.activations)
set_params() (numpy_ml.neural_nets.layers.layers.LayerBase method)
(numpy_ml.neural_nets.layers.LSTM method)
(numpy_ml.neural_nets.layers.RNN method)
(numpy_ml.neural_nets.optimizers.optimizers.OptimizerBase method)
(numpy_ml.neural_nets.schedulers.ConstantScheduler method)
(numpy_ml.neural_nets.schedulers.ExponentialScheduler method)
(numpy_ml.neural_nets.schedulers.KingScheduler method)
(numpy_ml.neural_nets.schedulers.NoamScheduler method)
(numpy_ml.neural_nets.wrappers.wrappers.WrapperBase method)
(numpy_ml.utils.kernels.LinearKernel method)
(numpy_ml.utils.kernels.PolynomialKernel method)
(numpy_ml.utils.kernels.RBFKernel method)
SGD (class in numpy_ml.neural_nets.optimizers)
shape (numpy_ml.preprocessing.nlp.Vocabulary attribute)
ShortestPathBandit (class in numpy_ml.bandits)
Sigmoid (class in numpy_ml.neural_nets.activations)
SkipConnectionConvModule (class in numpy_ml.neural_nets.modules)
SkipConnectionIdentityModule (class in numpy_ml.neural_nets.modules)
SmoothedLDA (class in numpy_ml.lda)
Softmax (class in numpy_ml.neural_nets.layers)
SoftPlus (class in numpy_ml.neural_nets.activations)
SparseEvolution (class in numpy_ml.neural_nets.layers)
SquaredError (class in numpy_ml.neural_nets.losses)
Standardizer (class in numpy_ml.preprocessing.general)
state_action_pairs() (numpy_ml.rl_models.rl_utils.EnvModel method)
state_action_pairs_leading_to_outcome() (numpy_ml.rl_models.rl_utils.EnvModel method)
step() (numpy_ml.neural_nets.optimizers.optimizers.OptimizerBase method)
strip_punctuation() (in module numpy_ml.preprocessing.nlp)
summary() (numpy_ml.neural_nets.layers.layers.LayerBase method)
(numpy_ml.neural_nets.wrappers.wrappers.WrapperBase method)
(numpy_ml.utils.kernels.LinearKernel method)
(numpy_ml.utils.kernels.PolynomialKernel method)
(numpy_ml.utils.kernels.RBFKernel method)
T
Tanh (class in numpy_ml.neural_nets.activations)
TemporalDifferenceAgent (class in numpy_ml.rl_models.agents)
TFIDFEncoder (class in numpy_ml.preprocessing.nlp)
ThompsonSamplingBetaBinomial (class in numpy_ml.bandits.policies)
tile_state_space() (in module numpy_ml.rl_models.rl_utils)
to_adj_dict() (numpy_ml.utils.graphs.Graph method)
to_dict() (numpy_ml.utils.data_structures.PQNode method)
to_frames() (in module numpy_ml.preprocessing.dsp)
to_matrix() (numpy_ml.utils.graphs.Graph method)
Token (class in numpy_ml.preprocessing.nlp)
tokenize_bytes_raw() (in module numpy_ml.preprocessing.nlp)
tokenize_chars() (in module numpy_ml.preprocessing.nlp)
tokenize_whitespace() (in module numpy_ml.preprocessing.nlp)
tokenize_words() (in module numpy_ml.preprocessing.nlp)
tokens (numpy_ml.preprocessing.nlp.BytePairEncoder attribute)
(numpy_ml.preprocessing.nlp.HuffmanEncoder attribute)
topological_ordering() (numpy_ml.utils.graphs.DiGraph method)
train() (numpy_ml.bandits.trainer.BanditTrainer method)
(numpy_ml.lda.LDA method)
(numpy_ml.lda.SmoothedLDA method)
(numpy_ml.ngram.AdditiveNGram method)
(numpy_ml.ngram.GoodTuringNGram method)
(numpy_ml.ngram.MLENGram method)
(numpy_ml.rl_models.trainer.Trainer method)
train_episode() (numpy_ml.rl_models.agents.DynaAgent method)
(numpy_ml.rl_models.agents.TemporalDifferenceAgent method)
trainable (numpy_ml.neural_nets.wrappers.wrappers.WrapperBase attribute)
Trainer (class in numpy_ml.rl_models.trainer)
transform() (numpy_ml.preprocessing.general.OneHotEncoder method)
(numpy_ml.preprocessing.general.Standardizer method)
(numpy_ml.preprocessing.nlp.BytePairEncoder method)
(numpy_ml.preprocessing.nlp.HuffmanEncoder method)
(numpy_ml.preprocessing.nlp.TFIDFEncoder method)
truncated_normal() (in module numpy_ml.neural_nets.utils)
U
UCB1 (class in numpy_ml.bandits.policies)
UndirectedGraph (class in numpy_ml.utils.graphs)
unfreeze() (numpy_ml.neural_nets.layers.DotProductAttention method)
(numpy_ml.neural_nets.layers.LSTM method)
(numpy_ml.neural_nets.layers.RNN method)
(numpy_ml.neural_nets.layers.layers.LayerBase method)
(numpy_ml.neural_nets.losses.NCELoss method)
(numpy_ml.neural_nets.wrappers.wrappers.WrapperBase method)
update() (numpy_ml.linear_models.LinearRegression method)
(numpy_ml.neural_nets.layers.LSTM method)
(numpy_ml.neural_nets.layers.RNN method)
(numpy_ml.neural_nets.layers.SparseEvolution method)
(numpy_ml.neural_nets.layers.layers.LayerBase method)
(numpy_ml.neural_nets.losses.NCELoss method)
(numpy_ml.neural_nets.models.BernoulliVAE method)
(numpy_ml.neural_nets.models.WGAN_GP method)
(numpy_ml.neural_nets.models.Word2Vec method)
(numpy_ml.neural_nets.optimizers.AdaGrad method)
(numpy_ml.neural_nets.optimizers.Adam method)
(numpy_ml.neural_nets.optimizers.RMSProp method)
(numpy_ml.neural_nets.optimizers.SGD method)
(numpy_ml.neural_nets.optimizers.optimizers.OptimizerBase method)
(numpy_ml.neural_nets.wrappers.wrappers.WrapperBase method)
(numpy_ml.rl_models.agents.CrossEntropyAgent method)
(numpy_ml.rl_models.agents.DynaAgent method)
(numpy_ml.rl_models.agents.MonteCarloAgent method)
(numpy_ml.rl_models.agents.TemporalDifferenceAgent method)
update_critic() (numpy_ml.neural_nets.models.WGAN_GP method)
update_generator() (numpy_ml.neural_nets.models.WGAN_GP method)
V
VAELoss (class in numpy_ml.neural_nets.losses)
VanillaALS (class in numpy_ml.factorization)
vertices (numpy_ml.utils.graphs.Graph attribute)
VLB() (numpy_ml.lda.LDA method)
Vocabulary (class in numpy_ml.preprocessing.nlp)
W
WavenetResidualModule (class in numpy_ml.neural_nets.modules)
weight (numpy_ml.utils.graphs.Edge attribute)
WeightInitializer (class in numpy_ml.neural_nets.initializers)
WGAN_GP (class in numpy_ml.neural_nets.models)
WGAN_GPLoss (class in numpy_ml.neural_nets.losses)
what_did_you_learn() (numpy_ml.lda.SmoothedLDA method)
with_traceback() (numpy_ml.utils.testing.DependencyWarning method)
Word2Vec (class in numpy_ml.neural_nets.models)
words_to_indices() (numpy_ml.preprocessing.nlp.Vocabulary method)
words_with_count() (numpy_ml.preprocessing.nlp.Vocabulary method)
WrapperBase (class in numpy_ml.neural_nets.wrappers.wrappers)
X
X (numpy_ml.neural_nets.wrappers.wrappers.WrapperBase attribute)