0.10.3
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Overview
Getting Started
Examples
Building a Neural Movie Recommender System
Autoencoders and multi-stage training for MNIST classification
Modelling Solar generation across Multiple Sites - Part 1
Modelling Solar generation across Multiple Sites - Part 2
GroupedPipeline
: applying a transformer per category
API reference
API reference
Timeserio
Docs
»
Index
Index
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A
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C
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D
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E
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F
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G
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H
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I
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L
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M
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N
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O
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P
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S
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T
_
__getstate__() (timeserio.keras.multinetwork.MultiNetworkBase method)
__setstate__() (timeserio.keras.multinetwork.MultiNetworkBase method)
A
absolute_latencies() (in module timeserio.keras.timing)
ArrayBatchGenerator (class in timeserio.keras.batches)
C
callbacks() (timeserio.keras.multinetwork.MultiNetworkBase property)
ceiling_division() (in module timeserio.batches.utils)
check_model_name() (timeserio.keras.multinetwork.MultiNetworkBase method)
check_params() (timeserio.keras.multinetwork.MultiNetworkBase method)
Columns (class in timeserio.ini)
D
datetime (timeserio.ini.Columns attribute)
,
[1]
dumpf() (in module timeserio.utils.pickle)
E
evaluate() (timeserio.keras.multinetwork.MultiNetworkBase method)
evaluate_generator() (timeserio.keras.multinetwork.MultiNetworkBase method)
F
fit() (timeserio.keras.multinetwork.MultiNetworkBase method)
fit_generator() (timeserio.keras.multinetwork.MultiNetworkBase method)
G
get_default_args() (in module timeserio.utils.functools)
get_git_version() (in module timeserio.version)
get_params() (timeserio.keras.multinetwork.MultiNetworkBase method)
H
HistoryLogger (class in timeserio.keras.callbacks)
hyperparams() (timeserio.keras.multinetwork.MultiNetworkBase property)
I
id (timeserio.ini.Columns attribute)
,
[1]
is_valid_multimodel() (in module timeserio.validation.validation)
is_valid_multipipeline() (in module timeserio.validation.validation)
is_valid_pickle() (in module timeserio.validation.validation)
is_valid_pipeline() (in module timeserio.validation.validation)
is_valid_transformer() (in module timeserio.validation.validation)
iterlayers() (in module timeserio.keras.utils)
L
layer_latency() (in module timeserio.keras.timing)
load_iris_df() (in module timeserio.data.datasets)
loadf() (in module timeserio.utils.pickle)
M
mock_dask_fit_data() (in module timeserio.data.mock)
mock_dask_raw_data() (in module timeserio.data.mock)
mock_datetime_range() (in module timeserio.data.mock)
mock_fit_data() (in module timeserio.data.mock)
mock_predict_data() (in module timeserio.data.mock)
mock_raw_data() (in module timeserio.data.mock)
model() (timeserio.keras.multinetwork.MultiNetworkBase property)
model_latency() (in module timeserio.keras.timing)
model_names() (timeserio.keras.multinetwork.MultiNetworkBase property)
model_output_length() (in module timeserio.keras.timing)
MultiNetworkBase (class in timeserio.keras.multinetwork)
N
n_jobs (in module timeserio.ini)
O
on_batch_end() (timeserio.keras.callbacks.HistoryLogger method)
on_epoch_begin() (timeserio.keras.callbacks.HistoryLogger method)
(timeserio.keras.callbacks.TimeLogger method)
on_epoch_end() (timeserio.keras.callbacks.HistoryLogger method)
(timeserio.keras.callbacks.TimeLogger method)
on_train_begin() (timeserio.keras.callbacks.HistoryLogger method)
(timeserio.keras.callbacks.TimeLogger method)
on_train_end() (timeserio.keras.callbacks.HistoryLogger method)
(timeserio.keras.callbacks.TimeLogger method)
P
PandasTimeSeriesSplit (class in timeserio.model_selection.time_series_split)
predict() (timeserio.keras.multinetwork.MultiNetworkBase method)
predict_generator() (timeserio.keras.multinetwork.MultiNetworkBase method)
S
score() (timeserio.keras.multinetwork.MultiNetworkBase method)
seed_random() (in module timeserio.keras.utils)
set_params() (timeserio.keras.multinetwork.MultiNetworkBase method)
split() (timeserio.model_selection.time_series_split.PandasTimeSeriesSplit method)
T
target (timeserio.ini.Columns attribute)
,
[1]
TimeLogger (class in timeserio.keras.callbacks)
timeserio (module)
timeserio.batches (module)
timeserio.batches.chunked (module)
timeserio.batches.single (module)
timeserio.batches.utils (module)
timeserio.data (module)
timeserio.data.datasets (module)
timeserio.data.mock (module)
timeserio.ini (module)
timeserio.keras (module)
timeserio.keras.batches (module)
timeserio.keras.callbacks (module)
timeserio.keras.multinetwork (module)
timeserio.keras.timing (module)
timeserio.keras.utils (module)
timeserio.model_selection (module)
timeserio.model_selection.time_series_split (module)
timeserio.utils (module)
timeserio.utils.functools (module)
timeserio.utils.pickle (module)
timeserio.validation (module)
timeserio.validation.validation (module)
timeserio.version (module)
total_latency() (in module timeserio.keras.timing)
trainable_models() (timeserio.keras.multinetwork.MultiNetworkBase property)