model-json

JSON serialization ans seserialization of scikit-learn, dask-ml and lightGBM model files, including transformers

Initial source

The solution is the extension of https://github.com/mlrequest/sklearn-json library

Getting Started

model-json makes exporting/importing the models and transformers files to/from JSON simple

Install

pip install git+https://github.com/FireFlyTy/sklearn-json@th/test

Example Usage

import datrics_json as datjson
from sklearn.ensemble import IsolationForest

model = IsolationForest().fit(X)

datjson.to_json(model, file_name)
deserialized_model = datjson.from_json(file_name)

deserialized_model.predict(X)

Features

The list of supported models is rapidly growing. If you have a request for a model or feature, please reach out to support@mlrequest.com.

sklearn-json requires scikit-learn >= 0.21.3.

Supported scikit-learn Models

• Classification

  • sklearn.linear_model.LogisticRegression
  • sklearn.linear_model.Perceptron
  • sklearn.discriminant_analysis.LinearDiscriminantAnalysis
  • sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis
  • sklearn.svm.SVC
  • sklearn.ensemble.IsolationForest
  • sklearn.clustering.KMeans
  • sklearn.clustering.DBSCAN
  • sklearn.naive_bayes.GaussianNB
  • sklearn.naive_bayes.MultinomialNB
  • sklearn.naive_bayes.ComplementNB
  • sklearn.naive_bayes.BernoulliNB
  • sklearn.tree.DecisionTreeClassifier
  • sklearn.ensemble.RandomForestClassifier
  • sklearn.ensemble.GradientBoostingClassifier
  • sklearn.neural_network.MLPClassifier

• Regression

  • sklearn.linear_model.LinearRegression
  • sklearn.linear_model.Ridge
  • sklearn.linear_model.Lasso
  • sklearn.linear_model.ElasticNet
  • sklearn.svm.SVR
  • sklearn.tree.DecisionTreeRegressor
  • sklearn.ensemble.RandomForestRegressor
  • sklearn.ensemble.GradientBoostingRegressor
  • sklearn.neural_network.MLPRegressor

Supported lightGBM Models

• lightgbm.LGBMClassifier - binary - Gradient Boosting Trees
• lightgbm.LGBMClassifier - multiclass - Gradient Boosting Trees
• lightgbm.LGBMClassifier - binary - Random Forest
• lightgbm.LGBMClassifier - multiclass - Random Forest
• lightgbm.LGBMRegressor - Gradient Boosting Trees
• lightgbm.LGBMRegressor - Random Forest

Supported dask-ml Models

• dask-ml.preprocessing.LabelEncoder
• dask-ml.preprocessing.OneHotEncoder
• dask-ml.preprocessing.MinMaxScaler

Example

• I'm a relative reference to a repository file