deepctr

Files (32)

• SKILL.md
• installation-and-compatibility.md · references/
• repo-provenance.md · references/
• repo-routing-metadata.json · references/
• troubleshooting.md · references/
• check_deepctr_env.py · scripts/
• SKILL.md · sub-skills/data-and-feature-columns/
• data-formats.md · sub-skills/data-and-feature-columns/references/
• feature-columns.md · sub-skills/data-and-feature-columns/references/
• troubleshooting.md · sub-skills/data-and-feature-columns/references/
• validate_feature_spec.py · sub-skills/data-and-feature-columns/scripts/
• SKILL.md · sub-skills/estimator-workflows/
• api-reference.md · sub-skills/estimator-workflows/references/
• tfrecord-and-pandas.md · sub-skills/estimator-workflows/references/
• troubleshooting.md · sub-skills/estimator-workflows/references/
• check_estimator_runtime.py · sub-skills/estimator-workflows/scripts/
• SKILL.md · sub-skills/keras-model-workflows/
• api-reference.md · sub-skills/keras-model-workflows/references/
• model-catalog.md · sub-skills/keras-model-workflows/references/
• troubleshooting.md · sub-skills/keras-model-workflows/references/
• workflows.md · sub-skills/keras-model-workflows/references/
• keras_tiny_ctr_smoke.py · sub-skills/keras-model-workflows/scripts/
• SKILL.md · sub-skills/multitask-models/
• api-reference.md · sub-skills/multitask-models/references/
• troubleshooting.md · sub-skills/multitask-models/references/
• workflows.md · sub-skills/multitask-models/references/
• multitask_tiny_smoke.py · sub-skills/multitask-models/scripts/
• SKILL.md · sub-skills/sequence-models/
• api-reference.md · sub-skills/sequence-models/references/
• sequence-inputs.md · sub-skills/sequence-models/references/
• troubleshooting.md · sub-skills/sequence-models/references/
• sequence_tiny_smoke.py · sub-skills/sequence-models/scripts/

SKILL.md (first lines)

# DeepCTR

Use this repo skill when the task mentions DeepCTR, click-through-rate prediction, recommender models, sparse/dense feature columns, DIN/BST/DIEN/DSIN, multitask heads, or the legacy TensorFlow Estimator surface.

## Install and verify

DeepCTR does **not** install TensorFlow for you. Install a TensorFlow build that matches your Python and platform, then install DeepCTR:

```bash
python -m pip install "numpy<2" "tensorflow<2.21"
python -m pip install deepctr
```

If you are using a TensorFlow 2.20-style stack with legacy Keras requirements, install the matching `tf-keras` package and set `TF_USE_LEGACY_KERAS=1` before running DeepCTR. See [references/installation-and-compatibility.md](references/installation-and-compatibility.md) for compatibility notes.

Quick environment check:

```bash
python scripts/check_deepctr_env.py --json
```

## Route by need

- `data-and-feature-columns` for `SparseFeat`, `DenseFeat`, `VarLenSparseFeat`, hashing, vocabulary paths, and input schema validation.
- `keras-model-workflows` for ordinary CTR/regression models, compile/fit/predict/save/load, and model selection.
- `sequence-models` for DIN, BST, DIEN, DSIN, `hist_`/`sess_` naming, and sequence/session debugging.
- `multitask-models` for SharedBottom, ESMM, MMOE, PLE, and multi-output target packing.
- `estimator-workflows` for `tf.estimator`, TFRecord/Pandas input functions, and runtime gating.

## Read first

- [references/troubleshooting.md](references/troubleshooting.md) for cross-cutting install/import/version/GPU issues.
- [references/repo-provenance.md](references/repo-provenance.md) when you need to check freshness or decide whether this skill is stale.

## Common starting point

If the user has not specified a model family yet, start with `data-and-feature-columns` when the problem is input shaping, otherwise `keras-model-workflows` for single-output model choice.

## What this skill does not do

- It does not tell you to open the original repository's examples or tests at runtime.
- It does not require a GPU unless the user explicitly asks for GPU or multi-GPU execution.
- It does not require Estimator workflows when `tf.estimator` is unavailable; in that case, use the Keras routes.

From VectorSpaceLab/AREX-Skill, Apache-2.0.

More from VectorSpaceLab/AREX-Skill