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Deploy machine learning models to production with one click. Automated scaling, monitoring, and version control included.
Your trained model is automatically packaged with all dependencies and requirements.
Automatic API generation with secure endpoints and documentation.
Automated scaling and comprehensive monitoring dashboard.
RESTful APIs are automatically generated for your models with secure endpoints and comprehensive documentation.
Monitor model performance, system health, and usage metrics in real-time through our dashboard.
Automatic scaling based on demand with zero downtime deployment.
Track and manage different versions of your deployed models with easy rollback capabilities.
import mlplatform as ml
# Initialize client
client = ml.Client('YOUR_API_KEY')
# Make predictions
response = client.predict(
model_id='model_123',
data={
'feature1': value1,
'feature2': value2
}
)
print(response.predictions)
curl -X POST \
https://api.ml/v1/predict \
-H 'Authorization: Bearer YOUR_API_KEY' \
-H 'Content-Type: application/json' \
-d '{
"model_id": "model_123",
"data": {
"feature1": value1,
"feature2": value2
}
}'
Get your model into production in minutes with our automated deployment platform.