rML Pro empowers data scientists and developers with cutting-edge automated machine learning solutions.
import rml
# Load your dataset
data = rml.load_data("your_dataset.csv")
# Train models automatically
best_model = rml.auto_train(data, target="your_target_column")
# Make predictions
predictions = best_model.predict(new_data)
# Evaluate performance
performance = rml.evaluate(best_model, test_data)
Upload your dataset from your local machine
Import data from a web address or API
Connect and sync with your database
Upload your datasets and prepare them for training.
Model | Status | Progress | Epoch | Action |
---|---|---|---|---|
Random Forest | Training | 64% | 3 | |
Gradient Boosting | Training | 42% | 2 | |
Support Vector Machine | Training | 78% | 4 |
Train your model with optimized parameters and configurations.
Model | Status | Progress | Epoch | Action |
---|---|---|---|---|
Random Forest | Completed | 100% | 3 | |
Gradient Boosting | Deployed | 100% | 2 | |
Support Vector Machine | Completed | 100% | 4 |
Deploy your trained model to production environment.
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