yoctol-nlu 0.6.0

# yoctol-nlu-py
[](https://travis-ci.org/Yoctol/yoctol-nlu-py)
[](https://badge.fury.io/py/yoctol-nlu)

Yoctol Natural Language Understanding SDK for python.

## Install
Use Python3
```
pip install yoctol-nlu
```

## Usage

### Intent Classifier Service

For existing classifier:
```python
from ynlu import NLUClient

client = NLUClient(token='YOUR_TOKEN_HERE')

# Get all possible clf ids
ids = client.get_all_available_clf_ids()
print(ids)

# Get model by id
model = client.get_model_by_id(ids[0])

# Predict
intent_result, entity_result = model.predict('飲料喝到飽')

# Also could get the clf by clf's name
# Get all possible clf names
names = clf.get_all_available_clf_names()
print(names)

# Get model by name
model = client.get_model_by_name(names[0])

# Predict
intent_result, entity_result = model.predict('飲料喝到飽')
```

## Documentation

We rely on Sphinx for user and API documentation.

You can run just make to do rebuild the API stubs and then build the HTML documentation.

```
cd docs
make # equivalent to `make apidoc && make html`
```

To only build the html pages:

```
cd docs
make html
```

To just re-generate the API reference.

```
cd docs
make apidoc # calls sphinx-apidoc
```
Run `make help` for a full list of build options.