SaschaHeyer

import vertexai
from vertexai.language_models import TextGenerationModel
from google.cloud import translate_v2 as translate

vertexai.init(project="sascha-playground-doit", location="us-central1")
parameters = {
    "candidate_count": 1,
    "max_output_tokens": 1024,
    "temperature": 0.9,
    "top_p": 1

SaschaHeyer

response = index_endpoint.match(
    deployed_index_id="similar_text_deployed",
    queries=[embedding[0]],
    num_neighbors=5
)

SaschaHeyer

{
 "predictions": [
   {
     "confidence": 0.9409326314926147,
     "sentiment": "POSITIVE"
   }
 ]
}

SaschaHeyer

training_data_artifact = aiplatform.Artifact.create(
        schema_title='system.Dataset',
        uri='gs://doit-vertex-demo/higgs/training.csv',
        display_name='data')

with aiplatform.start_execution(
       schema_title="system.ContainerExecution", 
       display_name='training'
    ) as execution:

SaschaHeyer

experiment_run = aiplatform.ExperimentRun(
        run_name='run-1668456760',
        experiment='experiment-demo',
)

print(experiment_run.get_artifacts())
print(experiment_run.get_metrics())
print(experiment_run.get_params())
print(experiment_run.get_time_series_data_frame())
print(experiment_run.get_classification_metrics())

SaschaHeyer

experiment_df = aiplatform.get_experiment_df()
experiment_df = experiment_df[experiment_df.experiment_name == 'experiment-demo']
experiment_df

SaschaHeyer

aiplatform.init(
       project='sascha-playground-doit',
       location='us-central1',
       experiment='experiment-sample',
       experiment_tensorboard='projects/sascha-playground-doit/locations/us-central1/tensorboards/6382621018774568960'
    )

SaschaHeyer

experiment_tensorboard = vertex_ai.Tensorboard.create()

SaschaHeyer

training_data_artifact = aiplatform.Artifact.create(
        schema_title='system.Dataset',
        uri='gs://doit-vertex-demo/higgs/training.csv',
        display_name='training data')

SaschaHeyer

aiplatform.log_time_series_metrics({"mse": 2500.00, "rmse": 50.00})
aiplatform.log_time_series_metrics({"mse": 2600.00, "rmse": 60.00})
aiplatform.log_time_series_metrics({"mse": 2700.00, "rmse": 70.00})