def __init__(self, expr, next_value_columns, previous_value_columns, resources=None, odo_kwargs=None, data_query_time=None, data_query_tz=None): dshape = expr.dshape if not istabular(dshape): raise ValueError( 'expression dshape must be tabular, got: %s' % dshape, ) required_cols = list( required_event_fields(next_value_columns, previous_value_columns) ) self._expr = bind_expression_to_resources( expr[required_cols], resources, ) self._next_value_columns = next_value_columns self._previous_value_columns = previous_value_columns self._odo_kwargs = odo_kwargs if odo_kwargs is not None else {} check_data_query_args(data_query_time, data_query_tz) self._data_query_time = data_query_time self._data_query_tz = data_query_tz self._columns = next_value_columns
def __init__(self, expr, next_value_columns, previous_value_columns, resources=None, odo_kwargs=None, data_query_time=None, data_query_tz=None): dshape = expr.dshape if not istabular(dshape): raise ValueError( 'expression dshape must be tabular, got: %s' % dshape, ) required_cols = list( required_event_fields(next_value_columns, previous_value_columns)) self._expr = bind_expression_to_resources( expr[required_cols], resources, ) self._next_value_columns = next_value_columns self._previous_value_columns = previous_value_columns self._odo_kwargs = odo_kwargs if odo_kwargs is not None else {} check_data_query_args(data_query_time, data_query_tz) self._data_query_time = data_query_time self._data_query_tz = data_query_tz
def __init__(self, expr, columns, resources=None, odo_kwargs=None, data_query_time=None, data_query_tz=None, checkpoints=None): dshape = expr.dshape if not istabular(dshape): raise ValueError( 'expression dshape must be tabular, got: %s' % dshape, ) required_cols = list(required_estimates_fields(columns)) self._expr = bind_expression_to_resources( expr[required_cols], resources, ) self._columns = columns self._odo_kwargs = odo_kwargs if odo_kwargs is not None else {} check_data_query_args(data_query_time, data_query_tz) self._data_query_time = data_query_time self._data_query_tz = data_query_tz self._checkpoints = checkpoints
def __init__(self, expr, resources=None, odo_kwargs=None, data_query_time=None, data_query_tz=None, dataset=default_dataset): if dataset is None: dataset = self.default_dataset dshape = expr.dshape if not istabular(dshape): raise ValueError( 'expression dshape must be tabular, got: %s' % dshape, ) expected_fields = self._expected_fields self._expr = bind_expression_to_resources( expr[list(expected_fields)], resources, ) self._odo_kwargs = odo_kwargs if odo_kwargs is not None else {} self._dataset = dataset check_data_query_args(data_query_time, data_query_tz) self._data_query_time = data_query_time self._data_query_tz = data_query_tz
def __init__(self, expr, resources=None, compute_kwargs=None, odo_kwargs=None): dshape = expr.dshape if not istabular(dshape): raise ValueError( 'expression dshape must be tabular, got: %s' % dshape, ) expected_fields = self._expected_fields self._expr = bind_expression_to_resources( expr[list(expected_fields)], resources, ) self._odo_kwargs = odo_kwargs if odo_kwargs is not None else {}
def __init__(self, expr, columns, resources=None, odo_kwargs=None, checkpoints=None): dshape = expr.dshape if not istabular(dshape): raise ValueError( 'expression dshape must be tabular, got: %s' % dshape, ) required_cols = list( required_estimates_fields(columns) ) self._expr = bind_expression_to_resources( expr[required_cols], resources, ) self._columns = columns self._odo_kwargs = odo_kwargs if odo_kwargs is not None else {} self._checkpoints = checkpoints