Filter Detections Module

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.

Configurable Parameters

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	Refer Below	-
threshold	float	Threshold value to filter on	0.5	0.5

schema

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]

Example JSON Configuration

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