pyemma.coordinates.pipelines.Pipeline¶
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class
pyemma.coordinates.pipelines.
Pipeline
(chain, chunksize=None, param_stride=1)¶ Data processing pipeline.
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__init__
(chain, chunksize=None, param_stride=1)¶ Data processing pipeline.
- Parameters
chain (list of transformers like objects) – the order in the list defines the direction of data flow.
chunksize (int, optional) – how many frames shall be processed at once.
param_stride (int, optional) – omit every n’th data point
Methods
_Loggable__create_logger
()__delattr__
(name, /)Implement delattr(self, name).
__dir__
()Default dir() implementation.
__eq__
(value, /)Return self==value.
__format__
(format_spec, /)Default object formatter.
__ge__
(value, /)Return self>=value.
__getattribute__
(name, /)Return getattr(self, name).
__gt__
(value, /)Return self>value.
__hash__
()Return hash(self).
__init__
(chain[, chunksize, param_stride])Data processing pipeline.
__init_subclass__
This method is called when a class is subclassed.
__le__
(value, /)Return self<=value.
__lt__
(value, /)Return self<value.
__ne__
(value, /)Return self!=value.
__new__
(**kwargs)Create and return a new object.
__reduce__
()Helper for pickle.
__reduce_ex__
(protocol, /)Helper for pickle.
__repr__
()Return repr(self).
__setattr__
(name, value, /)Implement setattr(self, name, value).
__sizeof__
()Size of object in memory, in bytes.
__str__
()Return str(self).
__subclasshook__
Abstract classes can override this to customize issubclass().
_cleanup_logger
(logger_id, logger_name)_is_estimated
()Iterates through the pipeline elements and checks if every element is parametrized.
_logger_is_active
(level)@param level: int log level (debug=10, info=20, warn=30, error=40, critical=50)
add_element
(e)Appends a pipeline stage.
Reads all data and discretizes it into discrete trajectories.
set_element
(index, e)Replaces a pipeline stage.
Attributes
_Loggable__ids
_Loggable__refs
__dict__
__doc__
__module__
__weakref__
list of weak references to the object (if defined)
_loglevel_CRITICAL
_loglevel_DEBUG
_loglevel_ERROR
_loglevel_INFO
_loglevel_WARN
logger
The logger for this class instance
name
The name of this instance
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