HuggingMouse.regressors¶
Classes¶
Class for carrying out regression using a regression model |
Module Contents¶
- class HuggingMouse.regressors.VisionEmbeddingToNeuronsRegressor(regression_model, metrics, model=None)¶
Class for carrying out regression using a regression model that adheres to sklearn estimator API (you can construct your own neural network). The code checks if the Transformer model embeddings are available in the cache and does the embedding if they don’t exist. The end result of the code is a Pandas data frame with the results of sklearn metrics for the regression experiment on each available trial. This data frame is saved to the path provided by the HGMS_REGR_ANAL_PATH environment variable with a hashed file name and the metadata stored in data_index_df.csv.
- regr_analysis_results_cache¶
- model = None¶
- model_name_str¶
- processor¶
- model_prefix¶
- regression_model¶
- regression_model_class¶
- boc¶
- eid_dict¶
- stimulus_session_dict¶
- metrics¶
- random_state_dct¶
- make_regression_data(container_id, session)¶
- update_data_index_df(container_id, hash)¶
- execute(container_id)¶