def test_training_auth_bad_key(self, resource_group, location,
form_recognizer_account,
form_recognizer_account_key):
client = FormTrainingClient(form_recognizer_account,
AzureKeyCredential("xxxx"))
with self.assertRaises(ClientAuthenticationError):
poller = client.begin_train_model("xx")
def train_model_with_labels(self):
from azure.ai.formrecognizer import FormTrainingClient
from azure.core.credentials import AzureKeyCredential
form_training_client = FormTrainingClient(self.endpoint,
AzureKeyCredential(self.key))
poller = form_training_client.begin_train_model(
self.container_sas_url, use_training_labels=True)
model = poller.result()
# Custom model information
print("Model ID: {}".format(model.model_id))
print("Status: {}".format(model.status))
print("Requested on: {}".format(model.requested_on))
print("Completed on: {}".format(model.completed_on))
print("Recognized fields:")
# looping through the submodels, which contains the fields they were trained on
# The labels are based on the ones you gave the training document.
for submodel in model.submodels:
print("...The submodel with form type {} has accuracy '{}'".format(
submodel.form_type, submodel.accuracy))
for name, field in submodel.fields.items():
print(
"...The model found field '{}' to have name '{}' with an accuracy of {}"
.format(name, field.name, field.accuracy))
# Training result information
for doc in model.training_documents:
print("Document name: {}".format(doc.document_name))
print("Document status: {}".format(doc.status))
print("Document page count: {}".format(doc.page_count))
print("Document errors: {}".format(doc.errors))
def train_model_without_labels(self):
# [START training]
from azure.ai.formrecognizer import FormTrainingClient
from azure.core.credentials import AzureKeyCredential
form_training_client = FormTrainingClient(self.endpoint,
AzureKeyCredential(self.key))
# Default for begin_train_model is `use_training_labels=False`
poller = form_training_client.begin_train_model(
self.container_sas_url, use_training_labels=False)
model = poller.result()
# Custom model information
print("Model ID: {}".format(model.model_id))
print("Status: {}".format(model.status))
print("Requested on: {}".format(model.requested_on))
print("Completed on: {}".format(model.completed_on))
print("Recognized fields:")
# Looping through the submodels, which contains the fields they were trained on
for submodel in model.submodels:
print("...The submodel has form type '{}'".format(
submodel.form_type))
for name, field in submodel.fields.items():
print(
"...The model found field '{}' to have label '{}'".format(
name, field.label))
# [END training]
# Training result information
for doc in model.training_documents:
print("Document name: {}".format(doc.document_name))
print("Document status: {}".format(doc.status))
print("Document page count: {}".format(doc.page_count))
print("Document errors: {}".format(doc.errors))
