nlp_primitives.tensorflow.Elmo

class nlp_primitives.tensorflow.Elmo

Transforms a sentence or short paragraph using deep contextualized langauge representations. Usese the following pre-trained model [tfhub model](https://tfhub.dev/google/elmo/2)

Parameters

None –

Examples

>>> Elmo = Elmo()
>>> words = ["I like to eat pizza",
...          "The roller coaster was built in 1885.",
...          "When will humans go to mars?"]
>>> output = Elmo(words)
>>> len(output)
1024
>>> len(output[0])
3
>>> values = output[:3, 0]
>>> [round(x, 4) for x in values]
[-0.3457, -0.4546, 0.2538]

__init__()

Methods

__init__()
flatten_nested_input_types(input_types)	Flattens nested column schema inputs into a single list.
generate_name(base_feature_names)
generate_names(base_feature_names)
get_args_string()
get_arguments()
get_description(input_column_descriptions[, ...])
get_filepath(filename)
get_function()
install()

Attributes

base_of
base_of_exclude
commutative
compatibility	Additional compatible libraries
default_value	Default value this feature returns if no data found.
description_template
input_types	woodwork.ColumnSchema types of inputs
max_stack_depth
name	Name of the primitive
number_output_features	Number of columns in feature matrix associated with this feature
return_type	ColumnSchema type of return
uses_calc_time
uses_full_dataframe

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