modelify 0.0.2.8

New Version of MLOps Platforms.

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

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")