Update README.md
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README.md
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- sklearn
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- skops
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- tabular-classification
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model_file:
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widget:
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1190 |
-
x94:
|
1191 |
-
- -0.1438853230748354
|
1192 |
-
- -0.3054291723020227
|
1193 |
-
- -0.2703605660877289
|
1194 |
-
x95:
|
1195 |
-
- -0.0825669664123788
|
1196 |
-
- -0.3027283784045821
|
1197 |
-
- -0.2971723525315612
|
1198 |
-
x96:
|
1199 |
-
- 0.0896328938197741
|
1200 |
-
- -0.2179465709954212
|
1201 |
-
- -0.3343656547012192
|
1202 |
-
x97:
|
1203 |
-
- 0.320390262171177
|
1204 |
-
- -0.1340516178654097
|
1205 |
-
- -0.3222080774374629
|
1206 |
-
x98:
|
1207 |
-
- 0.4345954402831039
|
1208 |
-
- -0.057088579929216
|
1209 |
-
- -0.2420413734810701
|
1210 |
-
x99:
|
1211 |
-
- 0.4489098709933811
|
1212 |
-
- 0.1028697923461384
|
1213 |
-
- -0.1139231003917056
|
1214 |
---
|
1215 |
|
1216 |
# Model description
|
@@ -1288,7 +82,7 @@ Use the code below to get started with the model.
|
|
1288 |
import joblib
|
1289 |
import json
|
1290 |
import pandas as pd
|
1291 |
-
clf = joblib.load(
|
1292 |
with open("config.json") as f:
|
1293 |
config = json.load(f)
|
1294 |
clf.predict(pd.DataFrame.from_dict(config["sklearn"]["example_input"]))
|
|
|
4 |
- sklearn
|
5 |
- skops
|
6 |
- tabular-classification
|
7 |
+
model_file: MLstructureMining_model.bin
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|
8 |
---
|
9 |
|
10 |
# Model description
|
|
|
82 |
import joblib
|
83 |
import json
|
84 |
import pandas as pd
|
85 |
+
clf = joblib.load(MLstructureMining_model.bin)
|
86 |
with open("config.json") as f:
|
87 |
config = json.load(f)
|
88 |
clf.predict(pd.DataFrame.from_dict(config["sklearn"]["example_input"]))
|