Slot Types

Text Slot

text
Use For:

User preferences where you only care whether or not they’ve been specified.
Example:
slots:
   cuisine:
      type: text
Description:

rasa_core.slots.Slot Results in the feature of the slot being set to 1 if any value is set. Otherwise the feature will be set to 0 (no value is set).

Boolean Slot

bool
Use For:

True or False
Example:
slots:
   is_authenticated:
      type: bool
Description:

Checks if slot is set and if True

Categorical Slot

categorical
Use For:

Slots which can take one of N values
Example:
slots:
   risk_level:
      type: categorical
      values:
      - low
      - medium
      - high
Description:

Creates a one-hot encoding describing which of the values matched.

Float Slot

float
Use For:

Continuous values
Example:
slots:
   temperature:
      type: float
      min_value: -100.0
      max_value:  100.0
Defaults:

max_value=1.0, min_value=0.0
Description:

All values below min_value will be treated as min_value, the same happens for values above max_value. Hence, if max_value is set to 1, there is no difference between the slot values 2 and 3.5 in terms of featurization (e.g. both values will influence the dialogue in the same way and the model can not learn to differentiate between them).

List Slot

list
Use For:

Lists of values
Example:
slots:
   shopping_items:
      type: list
Description:

The feature of this slot is set to 1 if a value with a list is set, where the list is not empty. If no value is set, or the empty list is the set value, the feature will be 0. The length of the list stored in the slot does not influence the dialogue.

Unfeaturized Slot

unfeaturized
Use For:

Data you want to store which shouldn’t influence the dialogue flow
Example:
slots:
   internal_user_id:
      type: unfeaturized
Description:

There will not be any featurization of this slot, hence its value does not influence the dialogue flow and is ignored when predicting the next action the bot should run.

The Slot base class

class rasa_core.slots.Slot(name, initial_value=None, value_reset_delay=None, auto_fill=True)[source]
feature_dimensionality()[source]

How many features this single slot creates.

The dimensionality of the array returned by as_feature needs to correspond to this value.

as_feature()[source]

Have questions or feedback?

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