API
- batchflow
- Index
- DatasetIndex
DatasetIndex
DatasetIndex.build_index()
DatasetIndex.build_pos()
DatasetIndex.calc_split()
DatasetIndex.concat()
DatasetIndex.create_batch()
DatasetIndex.create_subset()
DatasetIndex.from_index()
DatasetIndex.gen_batch()
DatasetIndex.get_default_iter_params()
DatasetIndex.get_pos()
DatasetIndex.index
DatasetIndex.indices
DatasetIndex.is_split
DatasetIndex.next_batch()
DatasetIndex.reset()
DatasetIndex.reset_iter()
DatasetIndex.shuffle()
DatasetIndex.size
DatasetIndex.split()
DatasetIndex.subset_by_pos()
- FilesIndex
- DatasetIndex
- Dataset
- Batch
Batch
Batch.add_components()
Batch.apply_defaults
Batch.apply_parallel()
Batch.array_of_nones
Batch.as_dataset()
Batch.components
Batch.create_attrs()
Batch.data
Batch.data_setter
Batch.dataset
Batch.deepcopy()
Batch.do_nothing()
Batch.dump()
Batch.from_data()
Batch.get()
Batch.get_attrs()
Batch.get_errors()
Batch.indices
Batch.items
Batch.load()
Batch.merge()
Batch.merge_component()
Batch.pipeline
Batch.random
Batch.random_seed
Batch.run_once()
Batch.save()
Batch.size
Batch.to_array()
- ImagesBatch
ImagesBatch
ImagesBatch.add()
ImagesBatch.add_components()
ImagesBatch.additive_noise()
ImagesBatch.apply_defaults
ImagesBatch.apply_parallel()
ImagesBatch.array_of_nones
ImagesBatch.as_dataset()
ImagesBatch.clip()
ImagesBatch.components
ImagesBatch.create_attrs()
ImagesBatch.crop()
ImagesBatch.cutout()
ImagesBatch.data
ImagesBatch.data_setter
ImagesBatch.dataset
ImagesBatch.deepcopy()
ImagesBatch.do_nothing()
ImagesBatch.dump()
ImagesBatch.elastic_transform()
ImagesBatch.enhance()
ImagesBatch.filter()
ImagesBatch.flip()
ImagesBatch.from_data()
ImagesBatch.get()
ImagesBatch.get_attrs()
ImagesBatch.get_errors()
ImagesBatch.image_shape
ImagesBatch.indices
ImagesBatch.invert()
ImagesBatch.items
ImagesBatch.load()
ImagesBatch.merge()
ImagesBatch.merge_component()
ImagesBatch.multiplicative_noise()
ImagesBatch.multiply()
ImagesBatch.pad()
ImagesBatch.pil_convert()
ImagesBatch.pipeline
ImagesBatch.posterize()
ImagesBatch.put_on_background()
ImagesBatch.random
ImagesBatch.random_seed
ImagesBatch.resize()
ImagesBatch.rotate()
ImagesBatch.run_once()
ImagesBatch.salt()
ImagesBatch.save()
ImagesBatch.scale()
ImagesBatch.shift()
ImagesBatch.size
ImagesBatch.split_to_patches()
ImagesBatch.to_array()
ImagesBatch.to_pil()
ImagesBatch.transform()
ImagesBatch._calc_origin()
- Pipeline
Pipeline
Pipeline.acquire_lock()
Pipeline.add_namespace()
Pipeline.append_pipeline()
Pipeline.assign_variable()
Pipeline.call()
Pipeline.concat()
Pipeline.create_batch()
Pipeline.del_variable()
Pipeline.delete_all_variables()
Pipeline.delete_variable()
Pipeline.discard_batch()
Pipeline.execute_for()
Pipeline.from_pipeline()
Pipeline.gather_metrics()
Pipeline.gen_batch()
Pipeline.gen_rebatch()
Pipeline.get_action_name()
Pipeline.get_last_action_proba()
Pipeline.get_last_action_repeat()
Pipeline.get_method()
Pipeline.get_model_by_name()
Pipeline.get_variable()
Pipeline.has_variable()
Pipeline.import_model()
Pipeline.index
Pipeline.indices
Pipeline.init_lock()
Pipeline.init_model()
Pipeline.init_variable()
Pipeline.init_variables()
Pipeline.is_method_from_ns()
Pipeline.join()
Pipeline.load_model()
Pipeline.load_model_now()
Pipeline.load_model_once()
Pipeline.m()
Pipeline.merge()
Pipeline.model
Pipeline.next_batch()
Pipeline.num_actions
Pipeline.predict_model()
Pipeline.print()
Pipeline.profile_info
Pipeline.random
Pipeline.random_seed
Pipeline.rebatch()
Pipeline.release_lock()
Pipeline.repr()
Pipeline.reset()
Pipeline.run()
Pipeline.run_later()
Pipeline.run_now()
Pipeline.save_model()
Pipeline.save_model_now()
Pipeline.save_model_once()
Pipeline.save_to()
Pipeline.set_config()
Pipeline.set_dataset()
Pipeline.set_variable()
Pipeline.show_profile_info()
Pipeline.train_model()
Pipeline.update()
Pipeline.update_config()
Pipeline.update_variable()
Pipeline.v()
- Once pipeline
- Named expressions
- Sampler
arithmetize()
Sampler
OrSampler
AndSampler
ApplySampler
TruncateSampler
WeightedSampler
BaseOperationSampler
AddSampler
MulSampler
TruedivSampler
SubSampler
PowSampler
FloordivSampler
ModSampler
RAddSampler
RMulSampler
RTruedivSampler
RSubSampler
RPowSampler
RFloordivSampler
RModSampler
ConstantSampler
NumpySampler
ScipySampler
HistoSampler
cart_prod()
- Decorators
- Exceptions
- Utilities
- Index
- batchflow.opensets
- batchflow.models
- dataset.models.metrics
- Metrics
- ClassificationMetrics
ClassificationMetrics
ClassificationMetrics.accuracy()
ClassificationMetrics.append()
ClassificationMetrics.condition_negative()
ClassificationMetrics.condition_positive()
ClassificationMetrics.confusion_matrix
ClassificationMetrics.copy()
ClassificationMetrics.diagnostics_odds_ratio()
ClassificationMetrics.f1_score()
ClassificationMetrics.false_discovery_rate()
ClassificationMetrics.false_negative()
ClassificationMetrics.false_negative_rate()
ClassificationMetrics.false_omission_rate()
ClassificationMetrics.false_positive()
ClassificationMetrics.false_positive_rate()
ClassificationMetrics.free()
ClassificationMetrics.jaccard()
ClassificationMetrics.negative_likelihood_ratio()
ClassificationMetrics.negative_predictive_value()
ClassificationMetrics.one_hot()
ClassificationMetrics.plot_confusion_matrix()
ClassificationMetrics.positive_likelihood_ratio()
ClassificationMetrics.positive_predictive_value()
ClassificationMetrics.prediction_negative()
ClassificationMetrics.prediction_positive()
ClassificationMetrics.prevalence()
ClassificationMetrics.total_population()
ClassificationMetrics.true_negative()
ClassificationMetrics.true_negative_rate()
ClassificationMetrics.true_positive()
ClassificationMetrics.true_positive_rate()
ClassificationMetrics.update()
- SegmentationMetricsByPixels
- SegmentationMetricsByInstances
- batchflow.models.torch
BaseModel
SklearnModel
- dataset.models.metrics
- batchflow.research