superintendent 0.0.1

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# superintendent


want to semi-supervise your machine learning?

This package is designed to provide a `ipywidget`-based interactive labelling tool for your data.

It's very much in early early alpha, so don't expect it to work! But if you want to have a go, here's how you would do it:

### Installation

```
pip install superintendent
```

### Usage

```python
from superintendent import SemiSupervisor

example_df = pd.read_csv('https://raw.githubusercontent.com/janfreyberg/superintendent/master/example_test.csv')

print(example_df)
```

```
sentence sentiment
0 This is terrible. -1
1 This is great. 1
2 Outrageous! -1
3 I don't believe you. 1
4 Get out 1
5 I love the anger. -1
```

This is a small & silly example dataframe, but as you can see, the labels
aren't right (e.g. `Get out.` is labelled positive). So let's create some new
labels.

```python
widget = SemiSupervisor(example_df[['sentence']], example_df[['sentiment']])

widget.annotate()
```


Once you've clicked through and done all your labelling, you can get your new
labels from the widget:

```python
print(widget.new_labels)
```

```
sentiment
0 -1
1 1
2 -1
3 -1
4 -1
5 1
```