Datasets:
Update README.md
Browse files
README.md
CHANGED
@@ -60,7 +60,7 @@ Then it can be imported as:
|
|
60 |
Note that to perform operations with our model the **0.8.2 version** must be used. Alternatively, if disk space is a concern
|
61 |
the user can just install *autogluon.tabular*
|
62 |
|
63 |
-
The [DirectContacts2 model](
|
64 |
|
65 |
>>> from huggingface_hub import snapshot_download
|
66 |
|
@@ -86,7 +86,7 @@ Training and test feature matrices can then be accessed as separate objects:
|
|
86 |
>>> train = dataset["train"].to_pandas()
|
87 |
>>> test = dataset["test"].to_pandas()
|
88 |
|
89 |
-
Jupyter notebooks containing more in-depth examples of model training, testing, and generating predictions can be found on our [GitHub](https://github.com/KDrewLab/
|
90 |
|
91 |
## Accessing full feature matrix and all test/train interaction/complex files
|
92 |
All other files, such as the full feature matrix, can be accessed via Huggingface_hub.
|
|
|
60 |
Note that to perform operations with our model the **0.8.2 version** must be used. Alternatively, if disk space is a concern
|
61 |
the user can just install *autogluon.tabular*
|
62 |
|
63 |
+
The [DirectContacts2 model](https://huggingface.co/DrewLab/DirectContacts2_AutoGluon) can be accessed through HuggingFace with [huggingface_hub](https://huggingface.co/docs/hub/index)
|
64 |
|
65 |
>>> from huggingface_hub import snapshot_download
|
66 |
|
|
|
86 |
>>> train = dataset["train"].to_pandas()
|
87 |
>>> test = dataset["test"].to_pandas()
|
88 |
|
89 |
+
Jupyter notebooks containing more in-depth examples of model training, testing, and generating predictions can be found on our [GitHub](https://github.com/KDrewLab/DirectContacts2_analysis/tree/main)
|
90 |
|
91 |
## Accessing full feature matrix and all test/train interaction/complex files
|
92 |
All other files, such as the full feature matrix, can be accessed via Huggingface_hub.
|