Filter Detections Module

(Latest Version)

Filter message by a classification threshold.

The Filter Detections module is used to filter rows from a dataframe based on values in a tensor using a specified criteria. Rows in the meta dataframe are excluded if their associated value in the probs array is less than or equal to threshold.

Parameter

Type

Description

Example Value

Default Value

copy

boolean

Whether to copy the rows or slice them

true

true

field_name

string

Name of the field to filter on

“probs”

probs

filter_source

string

Source of the filter field

“AUTO”

AUTO

schema

dictionary

Schema configuration

See Below

-

threshold

float

Threshold value to filter on

0.5

0.5

Key

Type

Description

Example Value

Default Value

encoding

string

Encoding

“latin1”

latin1

input_message_type

string

Pickled message type

“pickle_message_type”

[Required]

schema_str

string

Schema string

“string”

[Required]

Copy
Copied!
            

{ "field_name": "probs", "threshold": 0.5, "filter_source": "AUTO", "copy": true, "schema": { "input_message_type": "pickle_message_type", "encoding": "utf-8" } }

Property

Value

copy

False

field_name

probs

filter_source

AUTO

threshold

0.5

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