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] |
{
"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 |