mlrl.common.cython.instance_sampling module¶
@author: Michael Rapp (michael.rapp.ml@gmail.com)
- class mlrl.common.cython.instance_sampling.ExampleWiseStratifiedInstanceSamplingConfig¶
Bases:
object
Allows to configure a method for selecting a subset of the available training examples using stratification, where distinct label vectors are treated as individual classes.
- get_sample_size() float ¶
Returns the fraction of examples that are included in a sample.
- Returns:
The fraction of examples that are included in a sample
- set_sample_size(sample_size: float) ExampleWiseStratifiedInstanceSamplingConfig ¶
Sets the fraction of examples that should be included in a sample.
- Parameters:
sample_size – The fraction of examples that should be included in a sample, e.g., a value of 0.6 corresponds to 60 % of the available training examples. Must be in (0, 1)
- Returns:
An ExampleWiseStratifiedInstanceSamplingConfig that allows further configuration of the method for sampling instances
- class mlrl.common.cython.instance_sampling.InstanceSamplingWithReplacementConfig¶
Bases:
object
Allows to configure a method for selecting a subset of the available training examples with replacement.
- get_sample_size() float ¶
Returns the fraction of examples that are included in a sample.
- Returns:
The fraction of examples that are included in a sample
- set_sample_size(sample_size: float) InstanceSamplingWithReplacementConfig ¶
Sets the fraction of examples that should be included in a sample.
- Parameters:
sample_size – The fraction of examples that should be included in a sample, e.g., a value of 0.6 corresponds to 60 % of the available training examples. Must be in (0, 1)
- Returns:
An InstanceSamplingWithReplacementConfig that allows further configuration of the method for sampling instances
- class mlrl.common.cython.instance_sampling.InstanceSamplingWithoutReplacementConfig¶
Bases:
object
Allows to configure a method for selecting a subset of the available training examples without replacement.
- get_sample_size() float ¶
Returns the fraction of examples that are included in a sample.
- Returns:
The fraction of examples that are included in a sample
- set_sample_size(sample_size: float) InstanceSamplingWithoutReplacementConfig ¶
Sets the fraction of examples that should be included in a sample.
- Parameters:
sample_size – The fraction of examples that should be included in a sample, e.g., a value of 0.6 corresponds to 60 % of the available training examples. Must be in (0, 1)
- Returns:
An InstanceSamplingWithoutReplacementConfig that allows further configuration of the method for sampling instances
- class mlrl.common.cython.instance_sampling.LabelWiseStratifiedInstanceSamplingConfig¶
Bases:
object
Allows to configure a method for selecting a subset of the available training examples using stratification, such that for each label the proportion of relevant and irrelevant examples is maintained.
- get_sample_size() float ¶
Returns the fraction of examples that are included in a sample.
- Returns:
The fraction of examples that are included in a sample
- set_sample_size(sample_size: float) LabelWiseStratifiedInstanceSamplingConfig ¶
Sets the fraction of examples that should be included in a sample.
- Parameters:
sample_size – The fraction of examples that should be included in a sample, e.g., a value of 0.6 corresponds to 60 % of the available training examples. Must be in (0, 1)
- Returns:
A LabelWiseStratifiedInstanceSamplingConfig that allows further configuration of the method for sampling instances