Expand description
The ml
module.
Modules§
- activations
- Submodule of
ml
: activation functions. - k_
nearest_ neighbors - K Nearest Neighbor classifier Module for K nearest neighbors (KNN) algorithms.
- linear_
regression - Linear regression. Module for linear regression algorithms.
- logistic_
regression - Logistic regression. Module for logistic regression (classification) algorithms.
Structs§
- KNearest
Classifier - KNN Classifier struct
- Linear
Regression Input - Struct to hold the input data for a linear regression.
- Linear
Regression Output - Struct to hold the output data for a linear regression.
- Logistic
Regression Input - Struct to hold the input data for a logistic regression.
- Logistic
Regression Output - Struct to hold the output data for a logistic regression.
Enums§
- Decomposition
- Enum for type of matrix decomposition used.
- Logistic
Regression Algorithm - Algorithm to use for logistic regression.
- Metric
- Metric for computing distances
Traits§
- Activation
Function - Activation functions.