pressagio.predictor

Classes for predictors and to handle suggestions and predictions.

class pressagio.predictor.Prediction

Class for predictions from predictors.

Methods

append(self, object, /)	Append object to the end of the list.
clear(self, /)	Remove all items from list.
copy(self, /)	Return a shallow copy of the list.
count(self, value, /)	Return number of occurrences of value.
extend(self, iterable, /)	Extend list by appending elements from the iterable.
index(self, value[, start, stop])	Return first index of value.
insert(self, index, object, /)	Insert object before index.
pop(self[, index])	Remove and return item at index (default last).
remove(self, value, /)	Remove first occurrence of value.
reverse(self, /)	Reverse IN PLACE.
sort(self, /, \*[, key, reverse])	Stable sort IN PLACE.

add_suggestion
suggestion_for_token

__init__(self)

Initialize self. See help(type(self)) for accurate signature.

class pressagio.predictor.Predictor(config, context_tracker, predictor_name, short_desc=None, long_desc=None)

Base class for predictors.

Methods

token_satifies_filter

__init__(self, config, context_tracker, predictor_name, short_desc=None, long_desc=None)

Initialize self. See help(type(self)) for accurate signature.

class pressagio.predictor.PredictorActivator(config, registry, context_tracker)

PredictorActivator starts the execution of the active predictors, monitors their execution and collects the predictions returned, or terminates a predictor’s execution if it execedes its maximum prediction time.

The predictions returned by the individual predictors are combined into a single prediction by the active Combiner.

Attributes:

combination_policy

The combination_policy property.

Methods

predict

__init__(self, config, registry, context_tracker)

Initialize self. See help(type(self)) for accurate signature.

combination_policy

The combination_policy property.

class pressagio.predictor.PredictorRegistry(config, dbconnection=None)

Manages instantiation and iteration through predictors and aids in generating predictions and learning.

PredictorRegitry class holds the active predictors and provides the interface required to obtain an iterator to the predictors.

The standard use case is: Predictor obtains an iterator from PredictorRegistry and invokes the predict() or learn() method on each Predictor pointed to by the iterator.

Predictor registry should eventually just be a simple wrapper around plump.

Attributes:

context_tracker

The context_tracker property.

Methods

append(self, object, /)	Append object to the end of the list.
clear(self, /)	Remove all items from list.
copy(self, /)	Return a shallow copy of the list.
count(self, value, /)	Return number of occurrences of value.
extend(self, iterable, /)	Extend list by appending elements from the iterable.
index(self, value[, start, stop])	Return first index of value.
insert(self, index, object, /)	Insert object before index.
pop(self[, index])	Remove and return item at index (default last).
remove(self, value, /)	Remove first occurrence of value.
reverse(self, /)	Reverse IN PLACE.
sort(self, /, \*[, key, reverse])	Stable sort IN PLACE.

add_predictor
close_database
set_predictors

__init__(self, config, dbconnection=None)

Initialize self. See help(type(self)) for accurate signature.

context_tracker

The context_tracker property.

exception pressagio.predictor.PredictorRegistryException

class pressagio.predictor.SmoothedNgramPredictor(config, context_tracker, predictor_name, short_desc=None, long_desc=None, dbconnection=None)

Calculates prediction from n-gram model in sqlite database. You have to create a database with the script text2ngram first.

Attributes:

database

The database property.

deltas

The deltas property.

learn_mode

The learn_mode property.

Methods

close_database
init_database_connector_if_ready
ngram_to_string
predict
token_satifies_filter

__init__(self, config, context_tracker, predictor_name, short_desc=None, long_desc=None, dbconnection=None)

Initialize self. See help(type(self)) for accurate signature.

database

The database property.

deltas

The deltas property.

learn_mode

The learn_mode property.

class pressagio.predictor.Suggestion(word, probability)

Class for a simple suggestion, consists of a string and a probility for that string.

Attributes:

probability

The probability property.

__init__(self, word, probability)

Initialize self. See help(type(self)) for accurate signature.

probability

The probability property.

exception pressagio.predictor.SuggestionException

exception pressagio.predictor.UnknownCombinerException