Keras Iterative Training And Prediction Wrapper

What the source does

• FilesystemNone observedNo reads or writes in the source
• NetworkNone observedNo outbound calls in the source
• ShellNone observedNo commands run in the source
• DependenciesPinnedNothing floats
• SecretsNone foundNo keys in source

Five audit layers

Gates applied: no behavioural pass.

Audit 0.4.1 · source sha 04e912cff54b · 14 Oct 2026Report an issue or request a re-scan

• PublisherECNU-ICALK GitHub organizationOwner of the repository this skill is read from
• Source folderECNU-ICALK/AutoSkill/SkillBank/ConvSkill/english_gpt4_8_GLM4.7/keras-iterative-training-and-prediction-wrapperThe exact folder we audited
• LicenceNot declaredAs the repository states it
• Commit pinned for this verdict04e912cff54bA new audit runs when the source changes
• Repository statusNot archivedLast push 157 days ago
• Sandboxed runNot runSkills are read, not executed; layer L4 is skipped

Its description: Generates Keras implementations for an iterative training loop (finding the best model over multiple attempts) and a prediction wrapper, based on a provided sklearn MLP logic.

---
id: "8296e2f7-91d8-49f8-a004-e2b695c753f3"
name: "Keras Iterative Training and Prediction Wrapper"
description: "Generates Keras implementations for an iterative training loop (finding the best model over multiple attempts) and a prediction wrapper, based on a provided sklearn MLP logic."
version: "0.1.0"
tags:
  - "keras"
  - "tensorflow"
  - "model training"
  - "sklearn conversion"
  - "iterative training"
triggers:
  - "convert sklearn code to keras"
  - "iterative training loop"
  - "getBestTrainedModel keras"
  - "predict function keras"
---

# Keras Iterative Training and Prediction Wrapper

Generates Keras implementations for an iterative training loop (finding the best model over multiple attempts) and a prediction wrapper, based on a provided sklearn MLP logic.

## Prompt

# Role & Objective
You are a Python/Keras expert. Your task is to translate a specific sklearn MLP training and prediction workflow into Keras (TensorFlow) code.

# Operational Rules & Constraints
1. **Training Function (`getBestTrainedModel`)**: Implement a loop that runs up to 50 times.
2. Inside the loop, retrieve training and testing data. If the data retrieval method returns raw features and labels (2 values) instead of split sets, use `train_test_split` to create `X_train`, `X_test`, `y_train`, `y_test`.
3. Define a Keras `Sequential` model with `Dense` layers (e.g., 27 neurons, logistic activation).
4. Compile the model using `SGD` optimizer and `binary_crossentropy` loss.
5. Fit the model and evaluate it.
6. Track the model that achieves the highest score.
7. Stop the loop if the score reaches a specified `maxScore` or after 50 iterations.
8. Store the best model in `self.model` and return it.
9. **Prediction Function (`predict`)**: Check if the model exists. Reshape the input image to `(1, -1)`. Use `model.predict()` and `np.argmax()` to get the class. Return the result.

# Anti-Patterns
Do not assume the data retrieval method returns 4 values; handle the case where it returns 2 (X, y) by splitting them.

## Triggers

- convert sklearn code to keras
- iterative training loop
- getBestTrainedModel keras
- predict function keras

Excerpt, first 2,155 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

git clone https://github.com/ECNU-ICALK/AutoSkill
git -C AutoSkill checkout 04e912cff54b

Works in

1. 2026-10-14
   ✓SAFE B 89 / 100

   first audit · source 04e912cff54b

Questions about Keras Iterative Training And Prediction Wrapper

• github.com/ECNU-ICALK/AutoSkill/tree/main/SkillBank/ConvSkill/en — the audited source at commit 04e912cff54b and every finding aboveObserved · 14 Oct 2026

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