Add performance metrics

[param087]

Metrics

• Classification

  • accuracyScore
  • balancedAccuracyScore
  • averagePrecisionScore
  • brierScoreLoss
  • f1Score
  • logScore
  • precisionScore
  • recallScore
  • jaccardScore
  • rocAucScore

• Regression

  • explainedVarianceScore
  • maxError
  • meanAbsoluteError
  • meanSquaredError
  • meanSquaredLogError
  • medianAbsoluteError
  • r2Score

• Clustering

  • adjustedMutualInfoScore
  • adjustedRandScore
  • completenessScore
  • fowlkesMallowsScore
  • homogeneityScore
  • mutualInfoScore
  • normalizedMutualInfoScore
  • vMeasureScore

Reference implementation - https://github.com/scikit-learn/scikit-learn/tree/master/sklearn/metrics

[olegtaratuhin]

Hello! I would like to help with this issue

[param087]

@olegtaratuhin go ahead. If you need any help, please reach out.

[das-ankur]

Hello, I want to work on this issue.

[param087]

@das-ankur, you can look into scikit-learn for reference.

[das-ankur]

@param087 Thank you.

[das-ankur]

@param087 Hello, I need some help to install Tensorflow for swift on windows 10. Tensorflow is already in my pc and I use it using python but I need some help to install it for swift.

[param087]

@das-ankur, you can find the details to install Swift for TensorFlow in the following link:
https://github.com/tensorflow/swift/blob/main/Installation.md