saanikat commited on
Commit
787b39b
Β·
1 Parent(s): 3877882
README.md CHANGED
@@ -6,17 +6,17 @@ This repository hosts three pre-trained models desgined for metadata attribute s
6
 
7
  ```
8
  /attribute-standardizer-model6
9
- /bedbase_schema
10
  - bedbase_schema_design.yaml # BEDBASE schema
11
  - label_encoder_bedbase.pkl # Unqiue label values derived from training data, model classifies the output into these labels for BEDBASE schema
12
  - model_bedbase.pth # BEDBASE schema trained model
13
  - vectorizer_bedbase.pkl # CountVectorizer instance from the `scikit-learn` library for Bag of Words encoding used as input to the model
14
- /encode_schema
15
  - encode_schema_design.yaml #ENCODE schema
16
  - label_encoder_encode.pkl # Unqiue label values derived from training data, model classifies the output into these labels for ENCODE schema
17
  - model_encode.pth # ENCODE schema trained model
18
  - vectorizer_encode.pkl # CountVectorizer instance from the `scikit-learn` library for Bag of Words encoding used as input to the model
19
- /fairtracks_schema
20
  - fairtracks_schema_design.yaml # FAIRTRACKS schema
21
  - label_encoder_fairtracks.pkl # Unqiue label values derived from training data, model classifies the output into these labels for FAIRTRACKS schema
22
  - model_fairtracks.pth #FAIRTRACKS schema trained model
 
6
 
7
  ```
8
  /attribute-standardizer-model6
9
+ /bedbase
10
  - bedbase_schema_design.yaml # BEDBASE schema
11
  - label_encoder_bedbase.pkl # Unqiue label values derived from training data, model classifies the output into these labels for BEDBASE schema
12
  - model_bedbase.pth # BEDBASE schema trained model
13
  - vectorizer_bedbase.pkl # CountVectorizer instance from the `scikit-learn` library for Bag of Words encoding used as input to the model
14
+ /encode
15
  - encode_schema_design.yaml #ENCODE schema
16
  - label_encoder_encode.pkl # Unqiue label values derived from training data, model classifies the output into these labels for ENCODE schema
17
  - model_encode.pth # ENCODE schema trained model
18
  - vectorizer_encode.pkl # CountVectorizer instance from the `scikit-learn` library for Bag of Words encoding used as input to the model
19
+ /fairtracks
20
  - fairtracks_schema_design.yaml # FAIRTRACKS schema
21
  - label_encoder_fairtracks.pkl # Unqiue label values derived from training data, model classifies the output into these labels for FAIRTRACKS schema
22
  - model_fairtracks.pth #FAIRTRACKS schema trained model
{bedbase_schema β†’ bedbase}/bedbase_schema_design.yaml RENAMED
File without changes
{bedbase_schema β†’ bedbase}/label_encoder_bedbase.pkl RENAMED
File without changes
{bedbase_schema β†’ bedbase}/model_bedbase.pth RENAMED
File without changes
{bedbase_schema β†’ bedbase}/vectorizer_bedbase.pkl RENAMED
File without changes
{encode_schema β†’ encode}/encode_schema_design.yaml RENAMED
File without changes
{encode_schema β†’ encode}/label_encoder_encode.pkl RENAMED
File without changes
{encode_schema β†’ encode}/model_encode.pth RENAMED
File without changes
{encode_schema β†’ encode}/vectorizer_encode.pkl RENAMED
File without changes
{fairtracks_schema β†’ fairtracks}/fairtracks_schema_design.yaml RENAMED
File without changes
{fairtracks_schema β†’ fairtracks}/label_encoder_fairtracks.pkl RENAMED
File without changes
{fairtracks_schema β†’ fairtracks}/model_fairtracks.pth RENAMED
File without changes
{fairtracks_schema β†’ fairtracks}/vectorizer_fairtracks.pkl RENAMED
File without changes