Snap Machine Learning
1.3.0

Overview

  • Manual
  • Tutorials
  • FAQ

pai4sk ML APIs

  • linear_model.Ridge
  • linear_model.Lasso
  • linear_model.LogisticRegression
  • svm.LinearSVC
  • cluster.KMeans
  • cluster.DBSCAN
  • decomposition.PCA
  • decomposition.TruncatedSVD

pai4sk Loaders APIs

  • load_svmlight_file

pai4sk Metrics APIs

  • log_loss
  • accuracy_score
  • hinge_loss
  • mean_squared_error

snapML APIs

  • LinearRegression
  • LogisticRegression
  • SVM
  • DecisionTreeClassifier
  • RandomForestClassifier
  • log_loss
  • accuracy_score
  • hinge_loss
  • mean_squared_error

snapML Loaders APIs

  • load_from_svmlight_format
  • load_from_snap_format
  • load_snap_file
  • write_to_snap_format

snapML Spark APIs

  • LinearRegression
  • LogisticRegression
  • SupportVectorMachine
  • DatasetReader
  • Metrics
  • Utils
Snap Machine Learning
  • Docs »
  • API Documentation

API DocumentationΒΆ

We currently provide four python modules. Check out the APIs exposed by these modules in the relevant links,

  • pai4sk APIs
    • Machine Learning
      • linear_model.Ridge
      • linear_model.Lasso
      • linear_model.LogisticRegression
      • svm.LinearSVC
      • cluster.KMeans
      • cluster.DBSCAN
      • decomposition.PCA
      • decomposition.TruncatedSVD
    • Loaders
      • load_svmlight_file
    • Metrics
      • log_loss
      • accuracy_score
      • hinge_loss
      • mean_squared_error
  • SnapML APIs
    • LinearRegression
    • LogisticRegression
    • SVM
    • DecisionTreeClassifier
    • RandomForestClassifier
  • SnapML Loaders APIs
    • load_from_svmlight_format
    • load_from_snap_format
    • load_snap_file
    • write_to_snap_format
  • SnapML Spark APIs
    • LinearRegression
    • LogisticRegression
    • SupportVectorMachine
    • DatasetReader
    • Metrics
    • Utils

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