Empirical<'T> (dfx)

Empirical<'T> Type

Namespace: Dfx.Distributions
Assembly: Dfx.Core.dll
Base Type: Distribution<'T>

Represents an Empirical distribution.

Constructors

Constructor Description

Constructor	Description
`Empirical(values, ?weights, ?logWeights, ?combineDuplicates, ?device, ?dtype, ?backend)` Full Usage: `Empirical(values, ?weights, ?logWeights, ?combineDuplicates, ?device, ?dtype, ?backend)` Parameters: values : `'T seq` ?weights : `Tensor` ?logWeights : `Tensor` ?combineDuplicates : `bool` ?device : `Device` ?dtype : `Dtype` ?backend : `Backend` Returns: `Empirical<'T>`	values : `'T seq` ?weights : `Tensor` ?logWeights : `Tensor` ?combineDuplicates : `bool` ?device : `Device` ?dtype : `Dtype` ?backend : `Backend` Returns: `Empirical<'T>`


                
                  
                    
                      Empirical(values, ?weights, ?logWeights, ?combineDuplicates, ?device, ?dtype, ?backend)

Full Usage: Empirical(values, ?weights, ?logWeights, ?combineDuplicates, ?device, ?dtype, ?backend)

Parameters:

values : 'T seq

?weights : Tensor

?logWeights : Tensor

?combineDuplicates : bool

?device : Device

?dtype : Dtype

?backend : Backend

Returns: Empirical<'T>

values : 'T seq
?weights : Tensor
?logWeights : Tensor
?combineDuplicates : bool
?device : Device
?dtype : Dtype
?backend : Backend

Returns: Empirical<'T>

Instance members

Instance member	Description
`this.GetSlice` Full Usage: `this.GetSlice` Parameters: start : `int option` finish : `int option` Returns: `Empirical<'T>`	TBD start : `int option` finish : `int option` Returns: `Empirical<'T>`
`this[i]` Full Usage: `this[i]` Parameters: i : `int` Returns: `'T * Tensor`	TBD i : `int` Returns: `'T * Tensor`
`this.combineDuplicates ()` Full Usage: `this.combineDuplicates ()` Returns: `Empirical<'T>`	TBD Returns: `Empirical<'T>`
`this.effectiveSampleSize` Full Usage: `this.effectiveSampleSize` Returns: `Tensor`	TBD Returns: `Tensor`
`this.expectation f` Full Usage: `this.expectation f` Parameters: f : `Tensor -> Tensor` Returns: `Tensor`	TBD f : `Tensor -> Tensor` Returns: `Tensor`
`this.filter predicate` Full Usage: `this.filter predicate` Parameters: predicate : `'T -> bool` Returns: `Empirical<'T>`	TBD predicate : `'T -> bool` Returns: `Empirical<'T>`
`this.isWeighted` Full Usage: `this.isWeighted` Returns: `bool`	TBD Returns: `bool`
`this.length` Full Usage: `this.length` Returns: `int`	TBD Returns: `int`
`this.logWeights` Full Usage: `this.logWeights` Returns: `Tensor`	TBD Returns: `Tensor`
`this.map f` Full Usage: `this.map f` Parameters: f : `'T -> 'a` Returns: `Empirical<'a>`	TBD f : `'T -> 'a` Returns: `Empirical<'a>`
`this.max` Full Usage: `this.max` Returns: `Tensor`	TBD Returns: `Tensor`
`this.mean` Full Usage: `this.mean` Returns: `Tensor`	TBD Returns: `Tensor`
`this.min` Full Usage: `this.min` Returns: `Tensor`	TBD Returns: `Tensor`
`this.mode` Full Usage: `this.mode` Returns: `'T`	TBD Returns: `'T`
`this.resample (numSamples, ?minIndex, ?maxIndex)` Full Usage: `this.resample (numSamples, ?minIndex, ?maxIndex)` Parameters: numSamples : `int` ?minIndex : `int` ?maxIndex : `int` Returns: `Empirical<'T>`	TBD numSamples : `int` ?minIndex : `int` ?maxIndex : `int` Returns: `Empirical<'T>`
`this.sample (?minIndex, ?maxIndex)` Full Usage: `this.sample (?minIndex, ?maxIndex)` Parameters: ?minIndex : `int` ?maxIndex : `int` Returns: `'T`	TBD ?minIndex : `int` ?maxIndex : `int` Returns: `'T`
`this.stddev` Full Usage: `this.stddev` Returns: `Tensor`	TBD Returns: `Tensor`
`this.thin (numSamples, ?minIndex, ?maxIndex)` Full Usage: `this.thin (numSamples, ?minIndex, ?maxIndex)` Parameters: numSamples : `int` ?minIndex : `int` ?maxIndex : `int` Returns: `Empirical<'T>`	TBD numSamples : `int` ?minIndex : `int` ?maxIndex : `int` Returns: `Empirical<'T>`
`this.unweighted ()` Full Usage: `this.unweighted ()` Returns: `Empirical<'T>`	TBD Returns: `Empirical<'T>`
`this.values` Full Usage: `this.values` Returns: `'T array`	TBD Returns: `'T array`
`this.valuesTensor` Full Usage: `this.valuesTensor` Returns: `Tensor`	TBD Returns: `Tensor`
`this.variance` Full Usage: `this.variance` Returns: `Tensor`	TBD Returns: `Tensor`
`this.weights` Full Usage: `this.weights` Returns: `Tensor`	TBD Returns: `Tensor`

Inherited members

Inherited from `Distribution<'T>`

Instance members

Instance member	Description
`this.logprob arg1` Full Usage: `this.logprob arg1` Parameters: arg0 : `'T` Returns: `Tensor` Modifiers: abstract	Returns the log-probability of the distribution arg0 : `'T` Returns: `Tensor`
`this.sample ()` Full Usage: `this.sample ()` Returns: `'T` Modifiers: abstract	Samples the distribution Returns: `'T`

Empirical<'T> Type

Constructors

Instance members

Inherited members

Inherited from Distribution<'T>

Instance members

Inherited from `Distribution<'T>`