Ada lebih banyak contoh AWS SDK yang tersedia di repo Contoh [SDK AWS Doc](https://github.com/awsdocs/aws-doc-sdk-examples). GitHub Terjemahan disediakan oleh mesin penerjemah. Jika konten terjemahan yang diberikan bertentangan dengan versi bahasa Inggris aslinya, utamakan versi bahasa Inggris. # Gunakan `StartDocumentClassificationJob` dengan AWS SDK atau CLI Contoh kode berikut menunjukkan cara menggunakan`StartDocumentClassificationJob`. Contoh tindakan adalah kutipan kode dari program yang lebih besar dan harus dijalankan dalam konteks. Anda dapat melihat tindakan ini dalam konteks dalam contoh kode berikut: + [Latih pengklasifikasi khusus dan klasifikasikan dokumen](comprehend_example_comprehend_Usage_ComprehendClassifier_section.md) ------ #### [ CLI ] **AWS CLI** **Untuk memulai pekerjaan klasifikasi dokumen** `start-document-classification-job`Contoh berikut memulai pekerjaan klasifikasi dokumen dengan model kustom pada semua file di alamat yang ditentukan oleh `--input-data-config` tag. Dalam contoh ini, bucket input S3 berisi`SampleSMStext1.txt`,`SampleSMStext2.txt`, dan`SampleSMStext3.txt`. Model ini sebelumnya dilatih pada klasifikasi dokumen spam dan non-spam, atau, “ham”, pesan SMS. Ketika pekerjaan selesai, `output.tar.gz` diletakkan di lokasi yang ditentukan oleh `--output-data-config` tag. `output.tar.gz``predictions.jsonl`berisi daftar klasifikasi setiap dokumen. Output Json dicetak pada satu baris per file, tetapi diformat di sini untuk keterbacaan. ``` aws comprehend start-document-classification-job \ --job-name exampleclassificationjob \ --input-data-config "S3Uri=s3://amzn-s3-demo-bucket-INPUT/jobdata/" \ --output-data-config "S3Uri=s3://amzn-s3-demo-destination-bucket/testfolder/" \ --data-access-role-arn arn:aws:iam::111122223333:role/service-role/AmazonComprehendServiceRole-example-role \ --document-classifier-arn arn:aws:comprehend:us-west-2:111122223333:document-classifier/mymodel/version/12 ``` Isi dari `SampleSMStext1.txt`: ``` "CONGRATULATIONS! TXT 2155550100 to win $5000" ``` Isi dari `SampleSMStext2.txt`: ``` "Hi, when do you want me to pick you up from practice?" ``` Isi dari `SampleSMStext3.txt`: ``` "Plz send bank account # to 2155550100 to claim prize!!" ``` Output: ``` { "JobId": "e758dd56b824aa717ceab551fEXAMPLE", "JobArn": "arn:aws:comprehend:us-west-2:111122223333:document-classification-job/e758dd56b824aa717ceab551fEXAMPLE", "JobStatus": "SUBMITTED" } ``` Isi dari `predictions.jsonl`: ``` {"File": "SampleSMSText1.txt", "Line": "0", "Classes": [{"Name": "spam", "Score": 0.9999}, {"Name": "ham", "Score": 0.0001}]} {"File": "SampleSMStext2.txt", "Line": "0", "Classes": [{"Name": "ham", "Score": 0.9994}, {"Name": "spam", "Score": 0.0006}]} {"File": "SampleSMSText3.txt", "Line": "0", "Classes": [{"Name": "spam", "Score": 0.9999}, {"Name": "ham", "Score": 0.0001}]} ``` Untuk informasi selengkapnya, lihat [Klasifikasi Kustom](https://docs.aws.amazon.com/comprehend/latest/dg/how-document-classification.html) di Panduan *Pengembang Amazon Comprehend*. + Untuk detail API, lihat [StartDocumentClassificationJob](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/comprehend/start-document-classification-job.html)di *Referensi AWS CLI Perintah*. ------ #### [ Python ] **SDK untuk Python (Boto3)** Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/comprehend#code-examples). ``` class ComprehendClassifier: """Encapsulates an Amazon Comprehend custom classifier.""" def __init__(self, comprehend_client): """ :param comprehend_client: A Boto3 Comprehend client. """ self.comprehend_client = comprehend_client self.classifier_arn = None def start_job( self, job_name, input_bucket, input_key, input_format, output_bucket, output_key, data_access_role_arn, ): """ Starts a classification job. The classifier must be trained or the job will fail. Input is read from the specified Amazon S3 input bucket and written to the specified output bucket. Output data is stored in a tar archive compressed in gzip format. The job runs asynchronously, so you can call `describe_document_classification_job` to get job status until it returns a status of SUCCEEDED. :param job_name: The name of the job. :param input_bucket: The Amazon S3 bucket that contains input data. :param input_key: The prefix used to find input data in the input bucket. If multiple objects have the same prefix, all of them are used. :param input_format: The format of the input data, either one document per file or one document per line. :param output_bucket: The Amazon S3 bucket where output data is written. :param output_key: The prefix prepended to the output data. :param data_access_role_arn: The Amazon Resource Name (ARN) of a role that grants Comprehend permission to read from the input bucket and write to the output bucket. :return: Information about the job, including the job ID. """ try: response = self.comprehend_client.start_document_classification_job( DocumentClassifierArn=self.classifier_arn, JobName=job_name, InputDataConfig={ "S3Uri": f"s3://{input_bucket}/{input_key}", "InputFormat": input_format.value, }, OutputDataConfig={"S3Uri": f"s3://{output_bucket}/{output_key}"}, DataAccessRoleArn=data_access_role_arn, ) logger.info( "Document classification job %s is %s.", job_name, response["JobStatus"] ) except ClientError: logger.exception("Couldn't start classification job %s.", job_name) raise else: return response ``` + Untuk detail API, lihat [StartDocumentClassificationJob](https://docs.aws.amazon.com/goto/boto3/comprehend-2017-11-27/StartDocumentClassificationJob)di *AWS SDK for Python (Boto3) Referensi* API. ------ #### [ SAP ABAP ] **SDK for SAP ABAP** Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/sap-abap/services/cpd#code-examples). ``` TRY. oo_result = lo_cpd->startdocclassificationjob( iv_jobname = iv_job_name iv_documentclassifierarn = iv_classifier_arn io_inputdataconfig = NEW /aws1/cl_cpdinputdataconfig( iv_s3uri = iv_input_s3_uri iv_inputformat = iv_input_format ) io_outputdataconfig = NEW /aws1/cl_cpdoutputdataconfig( iv_s3uri = iv_output_s3_uri ) iv_dataaccessrolearn = iv_data_access_role_arn ). MESSAGE 'Document classification job started.' TYPE 'I'. CATCH /aws1/cx_cpdinvalidrequestex. MESSAGE 'Invalid request.' TYPE 'E'. CATCH /aws1/cx_cpdtoomanyrequestsex. MESSAGE 'Too many requests.' TYPE 'E'. CATCH /aws1/cx_cpdresourcenotfoundex. MESSAGE 'Resource not found.' TYPE 'E'. CATCH /aws1/cx_cpdresourceunavailex. MESSAGE 'Resource unavailable.' TYPE 'E'. CATCH /aws1/cx_cpdkmskeyvalidationex. MESSAGE 'KMS key validation error.' TYPE 'E'. CATCH /aws1/cx_cpdtoomanytagsex. MESSAGE 'Too many tags.' TYPE 'E'. CATCH /aws1/cx_cpdresrclimitexcdex. MESSAGE 'Resource limit exceeded.' TYPE 'E'. CATCH /aws1/cx_cpdinternalserverex. MESSAGE 'Internal server error occurred.' TYPE 'E'. ENDTRY. ``` + Untuk detail API, lihat [StartDocumentClassificationJob](https://docs.aws.amazon.com/sdk-for-sap-abap/v1/api/latest/index.html)di *AWS SDK untuk referensi SAP ABAP* API. ------