Views
No views yet
- Distance: (from credible set variants to gene)
- Molecular QTL Colocalization
- Variant Pathogenicity: (from VEP)
More information at: https://opentargets.github.io/gentropy/python_api/methods/l2g/_l2g/
| Hyperparameter | Value |
|---|---|
| ccp_alpha | 0 |
| criterion | friedman_mse |
| init | |
| learning_rate | 0.1 |
| loss | log_loss |
| max_depth | 3 |
| max_features | |
| max_leaf_nodes | |
| min_impurity_decrease | 0.0 |
| min_samples_leaf | 1 |
| min_samples_split | 5 |
| min_weight_fraction_leaf | 0.0 |
| n_estimators | 100 |
| n_iter_no_change | |
| random_state | 42 |
| subsample | 0.7 |
| tol | 0.0001 |
| validation_fraction | 0.1 |
| verbose | 0 |
| warm_start | False |
LocusToGeneModel.load_from_hub method. This will return a LocusToGeneModel object that can be used to make predictions on a feature matrix.
The model can then be used to make predictions using the predict method. More information can be found at: https://opentargets.github.io/gentropy/python_api/methods/l2g/model/