Metadata-Version: 2.1
Name: modelify
Version: 0.0.2.4
Summary: New Version of MLOps Platforms.
Home-page: UNKNOWN
Author: Muzaffer Senkal
Author-email: info@modelify.ai
License: MIT
Description: # Modelify
        
        Modelify takes over all devops jobs from data scientists and machine learning practitioners and brings their models to production.
        
        ## Install 
        
        ```
        pip install modelify
        ```
        
        ## Usage
        
        Deploying LightGBM Model
        
        ```python
        import pandas as pd
        from sklearn.datasets import load_iris
        from lightgbm import LGBMClassifier, Dataset, train as train_lgbm
        import modelify
        from modelify import ModelInference
        from modelify.helpers import create_schema
        
        # import data
        iris = load_iris()
        df= pd.DataFrame(data= np.c_[iris['data'], iris['target']],
                             columns= iris['feature_names'] + ['target'])
        
        # train test split
        train, test = train_test_split(df, test_size=0.2 )
        y_train = df["target"]
        X_train = df.drop(columns=["target"])
        
        # build your model
        clr = LGBMClassifier()
        clr.fit(X_train, y_train)
        
        # deployment
        inference = ModelInference(model=model, framework="LIGHTGBM", inputs=create_schema(X_train))
        
        modelify.connect("YOUR_API_KEY")
        
        modelify.deploy(inference, app_uid="YOUR_APP_UID")
        
        ```
        
Keywords: mlops,machine learning,model deployment,deploy model,data science,computer vision
Platform: UNKNOWN
Description-Content-Type: text/markdown
