Today we’re launching Inbox Samples, an exciting new feature that will make it much easier to improve the machine learning models built on our platform.

Now, whenever you send a new text to be analyzed by MonkeyLearn (via our API, integrations or user interface), the system will save your data within the Inbox of your module. Later on, you can use the texts in your Inbox as new training samples and improve your models over time.

How to use Inbox Samples

For seeing the samples within your Inbox, go to the Samples tab of your classifier and click Filter and select Inbox:

Training samples saved in the inbox of a classifier.

Training samples saved in the inbox of a classifier.

These are all the samples within the Inbox of your module. You can see the category predicted by the model by clicking on Categories and selecting Unassigned Samples. You can also filter these samples and only see those that got a certain prediction by clicking on Prediction and then by choosing the corresponding category:

Filtering samples by prediction.

Filtering samples by prediction.

By default, these new samples don’t have a category assigned and are not used as training samples by your model. For adding them as training samples, you can go through them and assign the corresponding category:

Adding a text as a training sample.

Adding a text as a training sample.

Afterwards, remember to re-train your model so it can learn from the new training samples.

We suggest going through the samples within your Inbox every now and then, so you can continuously improve your model and make it smarter with new data.