mlshell
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B
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C
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D
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F
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G
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I
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K
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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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R
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S
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T
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U
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V
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W
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Y
_
__init__() (mlshell.Dataset method)
(mlshell.DatasetProducer method)
(mlshell.LoggerProducer method)
(mlshell.Metric method)
(mlshell.MetricProducer method)
(mlshell.Pipeline method)
(mlshell.PipelineProducer method)
(mlshell.Workflow method)
B
bining_mask() (mlshell.pipeline.Steps method)
C
calc_th_range() (mlshell.model_selection.Resolver method)
clear() (mlshell.Dataset method)
copy() (mlshell.Dataset method)
cross_val_predict() (in module mlshell.model_selection)
D
data (mlshell.Dataset attribute)
data() (mlshell.Dataset property)
Dataset (class in mlshell)
dataset_id (mlshell.Pipeline attribute)
DatasetProducer (class in mlshell)
dict_api() (mlshell.DatasetProducer method)
(mlshell.LoggerProducer method)
(mlshell.MetricProducer method)
(mlshell.PipelineProducer method)
(mlshell.Workflow method)
dump() (mlshell.Pipeline method)
(mlshell.Workflow method)
dump_cache() (mlshell.DatasetProducer method)
(mlshell.LoggerProducer method)
(mlshell.MetricProducer method)
(mlshell.PipelineProducer method)
(mlshell.Workflow method)
dump_pred() (mlshell.Dataset method)
dump_runs() (mlshell.model_selection.MockOptimizer method)
(mlshell.model_selection.Optimizer method)
(mlshell.model_selection.RandomizedSearchOptimizer method)
F
fit() (mlshell.Pipeline method)
(mlshell.Workflow method)
fit_transform() (mlshell.model_selection.PredictionTransformer method)
fromkeys() (mlshell.Dataset method)
G
get() (mlshell.Dataset method)
get_params() (mlshell.model_selection.MockClassifier method)
(mlshell.model_selection.MockRegressor method)
(mlshell.model_selection.PredictionTransformer method)
(mlshell.model_selection.ThresholdClassifier method)
greater_is_better (mlshell.Metric attribute)
I
info() (mlshell.DatasetProducer method)
(mlshell.PipelineProducer method)
is_classifier() (mlshell.Pipeline method)
is_regressor() (mlshell.Pipeline method)
items() (mlshell.Dataset method)
K
keys() (mlshell.Dataset method)
kw_args() (mlshell.Metric property)
L
last_step() (mlshell.pipeline.Steps method)
load() (mlshell.DatasetProducer method)
(mlshell.PipelineProducer method)
load_cache() (mlshell.DatasetProducer method)
(mlshell.LoggerProducer method)
(mlshell.MetricProducer method)
(mlshell.PipelineProducer method)
(mlshell.Workflow method)
logger (mlshell.DatasetProducer attribute)
(mlshell.MetricProducer attribute)
(mlshell.PipelineProducer attribute)
(mlshell.Workflow attribute)
LoggerProducer (class in mlshell)
M
make() (mlshell.LoggerProducer method)
(mlshell.MetricProducer class method)
(mlshell.PipelineProducer method)
meta (mlshell.Dataset attribute)
meta() (mlshell.Dataset property)
Metric (class in mlshell)
MetricProducer (class in mlshell)
mlshell.model_selection
module
mlshell.pipeline
module
mlshell.plot
module
MockClassifier (class in mlshell.model_selection)
MockOptimizer (class in mlshell.model_selection)
MockRegressor (class in mlshell.model_selection)
module
mlshell.model_selection
mlshell.pipeline
mlshell.plot
N
needs_custom_kw_args (mlshell.Metric attribute)
needs_proba (mlshell.Metric attribute)
needs_threshold (mlshell.Metric attribute)
O
objects (mlshell.DatasetProducer attribute)
(mlshell.LoggerProducer attribute)
(mlshell.MetricProducer attribute)
(mlshell.PipelineProducer attribute)
(mlshell.Workflow attribute)
oid (mlshell.DatasetProducer attribute)
(mlshell.LoggerProducer attribute)
(mlshell.Metric attribute)
(mlshell.MetricProducer attribute)
(mlshell.PipelineProducer attribute)
(mlshell.Workflow attribute)
oid() (mlshell.Dataset property)
optimize() (mlshell.Workflow method)
Optimizer (class in mlshell.model_selection)
optimizer (mlshell.model_selection.Optimizer attribute)
P
Pipeline (class in mlshell)
pipeline (mlshell.Pipeline attribute)
PipelineProducer (class in mlshell)
plot() (mlshell.plot.Plotter method)
(mlshell.Workflow method)
Plotter (class in mlshell.plot)
pop() (mlshell.Dataset method)
popitem() (mlshell.Dataset method)
pprint() (mlshell.Metric method)
predict() (mlshell.Workflow method)
PredictionTransformer (class in mlshell.model_selection)
preprocess() (mlshell.DatasetProducer method)
project_path (mlshell.DatasetProducer attribute)
(mlshell.LoggerProducer attribute)
(mlshell.MetricProducer attribute)
(mlshell.PipelineProducer attribute)
(mlshell.Workflow attribute)
R
RandomizedSearchOptimizer (class in mlshell.model_selection)
resolve() (mlshell.model_selection.Resolver method)
Resolver (class in mlshell.model_selection)
run() (mlshell.DatasetProducer method)
(mlshell.LoggerProducer method)
(mlshell.MetricProducer method)
(mlshell.PipelineProducer method)
(mlshell.Workflow method)
S
score() (mlshell.model_selection.MockClassifier method)
(mlshell.model_selection.MockRegressor method)
(mlshell.model_selection.ThresholdClassifier method)
score_func (mlshell.Metric attribute)
score_func_vector (mlshell.Metric attribute)
scorer (mlshell.Metric attribute)
scorer_kwargs() (mlshell.pipeline.Steps method)
set() (mlshell.PipelineProducer method)
set_params() (mlshell.model_selection.MockClassifier method)
(mlshell.model_selection.MockRegressor method)
(mlshell.model_selection.PredictionTransformer method)
(mlshell.model_selection.ThresholdClassifier method)
(mlshell.Pipeline method)
setdefault() (mlshell.Dataset method)
split() (mlshell.DatasetProducer method)
Steps (class in mlshell.pipeline)
steps() (mlshell.pipeline.Steps property)
subcolumns() (mlshell.pipeline.Steps method)
subrows() (mlshell.pipeline.Steps method)
subset() (mlshell.Dataset method)
subsets (mlshell.Dataset attribute)
T
th_resolver() (mlshell.model_selection.Resolver method)
ThresholdClassifier (class in mlshell.model_selection)
U
update() (mlshell.Dataset method)
(mlshell.DatasetProducer method)
(mlshell.LoggerProducer method)
(mlshell.MetricProducer method)
(mlshell.PipelineProducer method)
(mlshell.Workflow method)
update_best() (mlshell.model_selection.MockOptimizer method)
(mlshell.model_selection.Optimizer method)
(mlshell.model_selection.RandomizedSearchOptimizer method)
V
validate() (mlshell.model_selection.Validator method)
(mlshell.Workflow method)
Validator (class in mlshell.model_selection)
values() (mlshell.Dataset method)
W
Workflow (class in mlshell)
X
x() (mlshell.Dataset property)
Y
y() (mlshell.Dataset property)
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