Load and Split
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Load and Split has 5 facts recorded in Dontopedia across 2 references.
Mostly:rdf:type(1), precedes(1), is step number(1)
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containsStepContains Step(2)
- Section 1
ex:section-1 - Workflow Sequence
ex:workflow-sequence
consistsOfConsists of(1)
- Workflow
ex:workflow
Other facts (5)
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| Predicate | Value | Ref |
|---|---|---|
| Rdf:type | Data Preparation Step | [1] |
| Precedes | Tokenize Data | [2] |
| Is Step Number | 1 | [2] |
| Enables | Tokenize Data | [2] |
| Ensures | Data Separation | [2] |
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References (2)
ctx:claims/beam/ba4ebe5f-d07c-449d-a419-da14a14caa93- full textbeam-chunktext/plain1 KB
doc:beam/ba4ebe5f-d07c-449d-a419-da14a14caa93Show excerpt
from sklearn.model_selection import train_test_split from sklearn.ensemble import RandomForestClassifier from sklearn.metrics import accuracy_score # Load dataset and split into training and testing sets X_train, X_test, y_train, y_test = …
ctx:claims/beam/0e4dede6-52a5-49ce-a450-4813d1738359- full textbeam-chunktext/plain990 B
doc:beam/0e4dede6-52a5-49ce-a450-4813d1738359Show excerpt
- Load and split the dataset into training and testing sets. - Tokenize the data using the tokenizer. 2. **Model Fine-Tuning**: - Define a custom dataset class to handle the tokenized data. - Set up training arguments and defin…
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