id stringlengths 16 145 | text stringlengths 1 179k | title stringclasses 1
value |
|---|---|---|
google_protobuf/tabular_160_0.txt | If you setup VPC peering with any other network, make sure that the network already exists and that your VM is running on that network. | |
google_protobuf/tabular_113_0.txt |
feature_columns = create_feature_columns()
estimator = tf.estimator.DNNClassifier(
optimizer=tf.optimizers.Adam(learning_rate=0.01),
feature_columns=feature_columns,
hidden_units=HIDDEN_LAYERS,
dropout=0.05,
batch_norm=True,
n_classes=2,
) | |
google_protobuf/604925_96_0.txt | ](https://www.linkedin.com/shareArticle?mini=true&url=https://www.googlecloudcommunity.com/gc/AI-
ML/Vertex-AI-Getting-a-GRPC-Exception-when-sending-a-
prediction/m-p/604925&title=Vertex AI: Getting a GRPC Exception when sending a
prediction request in Java) [ | |
google_protobuf/tabular_88_0.txt |
@tf.function
def transform_row(*row_tuple):
row_dict = dict(
zip(list(column_name for column_name in COLUMN_NAMES), list(row_tuple))
)
dict_without_label = dict(row_dict)
label = dict_without_label.pop("label")
return (dict_without_label, label) | |
google_protobuf/604925_66_0.txt | Reply posted on \--/--/---- --:-- AM | |
google_protobuf/comgooglecloudvertex_63_0.txt | Methods Method | Description | Method Variants
---|---|--- | |
google_protobuf/tabular_59_0.txt | # If you are running this notebook locally, replace the string below with the
# path to your service account key and run this cell to authenticate your GCP
# account.
elif not os.getenv("IS_TESTING"):
%env GOOGLE_APPLICATION_CREDENTIALS '' | |
google_protobuf/tabular_19_0.txt |
import os | |
google_protobuf/comgooglecloudvertex_32_0.txt | * [ DeleteEndpointRequest ](/java/docs/reference/google-cloud-vertexai/latest/com.google.cloud.vertexai.api.DeleteEndpointRequest)
* [ DeleteEndpointRequest.Builder ](/java/docs/reference/google-cloud-vertexai/latest/com.google.cloud.vertexai.api.DeleteEndpointRequest.Builder)
* [ DeleteOperationMetadata ](/java/doc... | |
google_protobuf/PredictionServiceCli_177_0.txt | ` com.google.api.gax.rpc.ApiException ` \- if the remote call fails
* #### explainCallable | |
google_protobuf/comgooglecloudvertex_56_0.txt | Version latest _keyboard_arrow_down_ | |
google_protobuf/PredictionServiceCli_129_0.txt | * `X-Vertex-AI-Endpoint-Id`: ID of the [Endpoint][google.cloud.aiplatform.v1.Endpoint] that served this prediction.
* `X-Vertex-AI-Deployed-Model-Id`: ID of the Endpoint's [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] that served this prediction. | |
google_protobuf/604925_194_0.txt | | 1 | |
google_protobuf/comgooglecloudvertex_76_0.txt | * ` X-Vertex-AI-Endpoint-Id ` : ID of the Endpoint that served this prediction. | |
google_protobuf/comgooglecloudvertex_40_0.txt | * [ Package summary ](/java/docs/reference/google-cloud-vertexai/latest/com.google.cloud.vertexai.api.stub)
* Classes | |
google_protobuf/comgooglecloudvertex_440_0.txt | ` httpBody ` | ` com.google.api.HttpBody ` | |
google_protobuf/comgooglecloudvertex_462_0.txt | Sample code: | |
google_protobuf/PredictionServiceCli_31_0.txt | ` protected ` | ` [ PredictionServiceClient
](../../../../../com/google/cloud/aiplatform/v1/PredictionServiceClient.html#PredictionServiceClient-
com.google.cloud.aiplatform.v1.stub.PredictionServiceStub-) ( [
PredictionServiceStub
](../../../../../com/google/cloud/aiplatform/v1/stub/PredictionServiceStub.html
"class ... | |
google_protobuf/PredictionServiceCli_55_0.txt | Perform an online prediction with an arbitrary HTTP payload. | |
google_protobuf/tabular_80_0.txt |
!cd $LOCAL_DIRECTORY_FULL/data && curl -O https://s3-eu-west-1.amazonaws.com/pfigshare-u-files/10082655/dac.tar.gz | |
google_protobuf/comgooglecloudvertex_189_0.txt | [ BackgroundResource
](https://cloud.google.com/java/docs/reference/gax/latest/com.google.api.gax.core.BackgroundResource.html) | |
google_protobuf/comgooglecloudvertex_394_0.txt | Perform an online prediction. | |
google_protobuf/google_protobuf_17_2.txt | [ _bool_
](https://docs.python.org/3/library/functions.html#bool "\(in Python v3.10\)")
) – If true, requests deterministic serialization of the protobuf, with
predictable ordering of map keys.
Returns :
A serialized representation of the partial message.
Return type :
[ bytes ](https://docs.python.o... | |
google_protobuf/google_protobuf_14_1.txt | ptor.html "previous chapter")
* Next: [ google.protobuf.descriptor_pb2 ](descriptor_pb2.html "next chapter")
### This Page
* [ Show Source ](../../_sources/google/protobuf/descriptor_database.rst.txt)
©2008, Google LLC. | Powered by [ Sphinx 2.3.1 ](http://sphinx-doc.org/) & [ Alabaster 0.7.12 ](https://githu... | |
google_protobuf/PredictionServiceCli_33_0.txt | Constructs an instance of PredictionServiceClient with default settings. | |
google_protobuf/comgooglecloudvertex_8_0.txt | close | |
google_protobuf/604925_32_0.txt | * [ Account Info & Registration ](/gc/Account-Info-Registration/tkb-p/cloud-account-reg) | |
google_protobuf/604925_178_0.txt | Associated Products | |
google_protobuf/comgooglecloudvertex_532_0.txt | Perform a streaming online prediction request for Vertex first-party products
and frameworks. | |
google_protobuf/tabular_26_0.txt | app = IPython.Application.instance()
app.kernel.do_shutdown(True) | |
google_protobuf/PredictionServiceCli_30_0.txt | Constructs an instance of PredictionServiceClient, using the given settings. | |
google_protobuf/comgooglecloudvertex_48_0.txt | * [ google-cloud-video-intelligence ](/java/docs/reference/google-cloud-video-intelligence/latest/overview)
* [ google-cloud-video-stitcher ](/java/docs/reference/google-cloud-video-stitcher/latest/overview)
* [ google-cloud-video-transcoder ](/java/docs/reference/google-cloud-video-transcoder/latest/overview)
* [ g... | |
google_protobuf/604925_46_0.txt | * [ Subscribe to RSS Feed ](/qsqph94282/rss/message?board.id=cloud-ai-ml&message.id=2198)
* * Mark Topic as New
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google_protobuf/604925_2_0.txt | [ Reject
](https://www.googlecloudcommunity.com/gc/forums/v5/forumtopicpage.cookiebanneralertv2.link_0:rejectcookieevent?t:ac=board-
id/cloud-ai-ml/message-
id/2198&t:cp=gdprcookiebanner/contributions/cookiebannercontributionpage) | |
google_protobuf/comgooglecloudvertex_11_0.txt | Sign in | |
google_protobuf/comgooglecloudvertex_81_0.txt | * rawPredict(EndpointName endpoint, HttpBody httpBody) | |
google_protobuf/comgooglecloudvertex_21_0.txt | * [ google-cloud-security-private-ca ](/java/docs/reference/google-cloud-security-private-ca/latest/overview)
* [ google-cloud-securitycenter ](/java/docs/reference/google-cloud-securitycenter/latest/overview)
* [ google-cloud-securitycenter-settings ](/java/docs/reference/google-cloud-securitycenter-settings/latest... | |
google_protobuf/tabular_253_0.txt | response = model_service_client.delete_model(name=model_name)
print("running delete_model operation:", response.operation.name)
print(response.result()) | |
google_protobuf/comgooglecloudvertex_54_0.txt | # Class PredictionServiceClient (1.2.0) | |
google_protobuf/comgooglecloudvertex_14_0.txt | [ Contact Us ](https://cloud.google.com/contact) [ Start free
](//console.cloud.google.com/freetrial) | |
google_protobuf/PredictionServiceCli_192_0.txt | ` isShutdown ` in interface ` com.google.api.gax.core.BackgroundResource `
* #### isTerminated | |
google_protobuf/comgooglecloudvertex_280_0.txt | Sample code: | |
google_protobuf/comgooglecloudvertex_334_0.txt | Gets the access control policy for a resource. Returns an empty policyif the
resource exists and does not have a policy set. | |
google_protobuf/comgooglecloudvertex_425_0.txt | public final UnaryCallable<PredictRequest,PredictResponse> predictCallable() | |
google_protobuf/comgooglecloudvertex_34_0.txt | * [ GenerateContentRequest ](/java/docs/reference/google-cloud-vertexai/latest/com.google.cloud.vertexai.api.GenerateContentRequest)
* [ GenerateContentRequest.Builder ](/java/docs/reference/google-cloud-vertexai/latest/com.google.cloud.vertexai.api.GenerateContentRequest.Builder)
* [ GenerateContentResponse ](/java... | |
google_protobuf/comgooglecloudvertex_387_0.txt | public final UnaryCallable<ListLocationsRequest,PredictionServiceClient.ListLocationsPagedResponse> listLocationsPagedCallable() | |
google_protobuf/comgooglecloudvertex_246_0.txt |
**Returns**
---
**Type** | **Description**
` [ UnaryCallable
](https://cloud.google.com/java/docs/reference/gax/latest/com.google.api.gax.rpc.UnaryCallable.html)
< [ DirectPredictRequest ](/java/docs/reference/google-cloud-
vertexai/latest/com.google.cloud.vertexai.api.DirectPredictRequest) , [
DirectPredictResponse ... | |
google_protobuf/google_protobuf_17_1.txt | ll be raised.
Parameters :
**field_name** ( [ _str_ ](https://docs.python.org/3/library/stdtypes.html#str
"\(in Python v3.10\)") ) – The name of the field to check for presence.
Returns :
Whether a value has been set for the named field.
Return type :
[ bool ](https://docs.python.org/3/librar... | |
google_protobuf/comgooglecloudvertex_62_0.txt |
Note: close() needs to be called on the PredictionServiceClient object to
clean up resources such as threads. In the example above, try-with-resources
is used, which automatically calls close(). | |
google_protobuf/PredictionServiceCli_208_0.txt | * Summary:
* Nested |
* Field |
* Constr |
* Method | |
google_protobuf/PredictionServiceCli_4_0.txt | * [ Frames ](../../../../../index.html?com/google/cloud/aiplatform/v1/PredictionServiceClient.html)
* [ No Frames ](PredictionServiceClient.html) | |
google_protobuf/comgooglecloudvertex_545_0.txt | Note: This operation is designed to be used for buildingpermission-aware UIs
and command-line tools, not for authorizationchecking. This operation may
"fail open" without warning. | |
google_protobuf/comgooglecloudvertex_335_0.txt | Sample code: | |
google_protobuf/tabular_30_0.txt | Enable the Vertex AI API. | |
google_protobuf/comgooglecloudvertex_26_0.txt | * com.google.cloud.vertexai.api | |
google_protobuf/604925_118_0.txt | 2 REPLIES 2 | |
google_protobuf/tabular_92_0.txt |
for row in read_gcs(batch_size=3).take(2):
print(row) | |
google_protobuf/tabular_210_0.txt | First, verify that you can access your models. | |
google_protobuf/tabular_175_0.txt |
tf27_gpu_model_dict = {
"display_name": "Criteo Kaggle TF2.7 GPU model",
"artifact_uri": BUCKET_URI,
"container_spec": {
"image_uri": "us-docker.pkg.dev/vertex-ai/prediction/tf2-gpu.2-7:latest",
"args": [
"--port=8500",
"--rest_api_port=8080",
"--model_name=default",
"--model_base_path=$(AIP_STORAGE_URI)",
],
"ports":... | |
polar_functions/LazyFrame_63_5.txt | l)
* [ polars.LazyFrame.select ](polars.LazyFrame.select.html)
* [ polars.LazyFrame.select_seq ](polars.LazyFrame.select_seq.html)
* [ polars.LazyFrame.set_sorted ](polars.LazyFrame.set_sorted.html)
* [ polars.LazyFrame.shift ](polars.LazyFrame.shift.html)
* [ polars.LazyFrame.shift_and_fi... | |
polar_functions/input_output_9_23.txt | * [ polars.Expr.dt.day ](../expressions/api/polars.Expr.dt.day.html)
* [ polars.Expr.dt.days ](../expressions/api/polars.Expr.dt.days.html)
* [ polars.Expr.dt.dst_offset ](../expressions/api/polars.Expr.dt.dst_offset.html)
* [ polars.Expr.dt.epoch ](../expressions/api/polars.Expr.dt.epoch.html)
... | |
polar_functions/input_output_33_1.txt | ars.DataFrame.__dataframe__ ](../dataframe/api/polars.DataFrame.__dataframe__.html)
* [ polars.DataFrame.to_arrow ](../dataframe/api/polars.DataFrame.to_arrow.html)
* [ polars.DataFrame.to_dict ](../dataframe/api/polars.DataFrame.to_dict.html)
* [ polars.DataFrame.to_dicts ](../dataframe/api/polars.Da... | |
polar_functions/Expression_3_21.txt | tlecase.html)
* [ polars.Expr.str.to_time ](polars.Expr.str.to_time.html)
* [ polars.Expr.str.to_uppercase ](polars.Expr.str.to_uppercase.html)
* [ polars.Expr.str.zfill ](polars.Expr.str.zfill.html)
* [ Struct ](../struct.html) __
* [ polars.Expr.struct.field ](polars.Expr.struct.field.html... | |
polar_functions/input_output_16_26.txt | e ](polars.api.register_expr_namespace.html)
* [ polars.api.register_dataframe_namespace ](polars.api.register_dataframe_namespace.html)
* [ polars.api.register_lazyframe_namespace ](polars.api.register_lazyframe_namespace.html)
* [ polars.api.register_series_namespace ](polars.api.register_series_namespace... | |
polar_functions/LazyFrame_9_26.txt | /../api/polars.Config.set_auto_structify.html)
* [ polars.Config.set_decimal_separator ](../../api/polars.Config.set_decimal_separator.html)
* [ polars.Config.set_float_precision ](../../api/polars.Config.set_float_precision.html)
* [ polars.Config.set_fmt_float ](../../api/polars.Config.set_fmt_float.html)... | |
polar_functions/Expression_51_12.txt | * [ polars.Series.str.json_decode ](../../series/api/polars.Series.str.json_decode.html)
* [ polars.Series.str.json_extract ](../../series/api/polars.Series.str.json_extract.html)
* [ polars.Series.str.json_path_match ](../../series/api/polars.Series.str.json_path_match.html)
* [ polars.Series.str.le... | |
polar_functions/DataType_25_6.txt | s.min.html)
* [ polars.Series.mode ](../series/api/polars.Series.mode.html)
* [ polars.Series.nan_max ](../series/api/polars.Series.nan_max.html)
* [ polars.Series.nan_min ](../series/api/polars.Series.nan_min.html)
* [ polars.Series.product ](../series/api/polars.Series.product.html)
* [ ... | |
polar_functions/Expression_46_8.txt | eries.log10 ](../../series/api/polars.Series.log10.html)
* [ polars.Series.log1p ](../../series/api/polars.Series.log1p.html)
* [ polars.Series.map_dict ](../../series/api/polars.Series.map_dict.html)
* [ polars.Series.pct_change ](../../series/api/polars.Series.pct_change.html)
* [ polars.Serie... | |
polar_functions/input_output_9_15.txt | olars.Expr.is_infinite.html)
* [ polars.Expr.is_last ](../expressions/api/polars.Expr.is_last.html)
* [ polars.Expr.is_last_distinct ](../expressions/api/polars.Expr.is_last_distinct.html)
* [ polars.Expr.is_nan ](../expressions/api/polars.Expr.is_nan.html)
* [ polars.Expr.is_not ](../expression... | |
polar_functions/Expression_34_16.txt | lars.Expr.hash.html)
* [ polars.Expr.hist ](polars.Expr.hist.html)
* [ polars.Expr.kurtosis ](polars.Expr.kurtosis.html)
* [ polars.Expr.log ](polars.Expr.log.html)
* [ polars.Expr.log10 ](polars.Expr.log10.html)
* [ polars.Expr.log1p ](polars.Expr.log1p.html)
* [ polars.Expr.mode ](... | |
polar_functions/input_output_3_16.txt | tml)
* [ polars.Expr.ewm_var ](../expressions/api/polars.Expr.ewm_var.html)
* [ polars.Expr.exp ](../expressions/api/polars.Expr.exp.html)
* [ polars.Expr.hash ](../expressions/api/polars.Expr.hash.html)
* [ polars.Expr.hist ](../expressions/api/polars.Expr.hist.html)
* [ polars.Expr.kurto... | |
polar_functions/DataType_23_18.txt | /expressions/api/polars.tail.html)
* [ polars.time ](../expressions/api/polars.time.html)
* [ polars.time_range ](../expressions/api/polars.time_range.html)
* [ polars.time_ranges ](../expressions/api/polars.time_ranges.html)
* [ polars.var ](../expressions/api/polars.var.html)
* [ polars.... | |
polar_functions/LazyFrame_47_5.txt | g ](polars.LazyFrame.rolling.html)
* [ polars.LazyFrame.select ](polars.LazyFrame.select.html)
* [ polars.LazyFrame.select_seq ](polars.LazyFrame.select_seq.html)
* [ polars.LazyFrame.set_sorted ](polars.LazyFrame.set_sorted.html)
* [ polars.LazyFrame.shift ](polars.LazyFrame.shift.html)
*... | |
polar_functions/LazyFrame_66_14.txt | [ polars.Expr.mean ](../../expressions/api/polars.Expr.mean.html)
* [ polars.Expr.median ](../../expressions/api/polars.Expr.median.html)
* [ polars.Expr.min ](../../expressions/api/polars.Expr.min.html)
* [ polars.Expr.nan_max ](../../expressions/api/polars.Expr.nan_max.html)
* [ polars.Expr.na... | |
polar_functions/LazyFrame_2_24.txt | * [ polars.Expr.dt.to_string ](../../expressions/api/polars.Expr.dt.to_string.html)
* [ polars.Expr.dt.total_days ](../../expressions/api/polars.Expr.dt.total_days.html)
* [ polars.Expr.dt.total_hours ](../../expressions/api/polars.Expr.dt.total_hours.html)
* [ polars.Expr.dt.total_microseconds ](... | |
polar_functions/LazyFrame_37_12.txt | lars.Series.str.starts_with.html)
* [ polars.Series.str.strip ](../../series/api/polars.Series.str.strip.html)
* [ polars.Series.str.strip_chars ](../../series/api/polars.Series.str.strip_chars.html)
* [ polars.Series.str.strip_chars_start ](../../series/api/polars.Series.str.strip_chars_start.html)
... | |
polar_functions/DataType_14_11.txt | s ](../series/api/polars.Series.to_dummies.html)
* [ polars.Series.top_k ](../series/api/polars.Series.top_k.html)
* [ polars.Series.unique ](../series/api/polars.Series.unique.html)
* [ polars.Series.view ](../series/api/polars.Series.view.html)
* [ polars.Series.zip_with ](../series/api/polars... | |
polar_functions/input_output_7_4.txt | * [ polars.lazyframe.group_by.LazyGroupBy.all ](../lazyframe/api/polars.lazyframe.group_by.LazyGroupBy.all.html)
* [ polars.lazyframe.group_by.LazyGroupBy.apply ](../lazyframe/api/polars.lazyframe.group_by.LazyGroupBy.apply.html)
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polar_functions/DataType_19_27.txt | se_type ` () | Return this DataType's fundamental/root type class.
` is_ ` (other) | Check if this DataType is the same as another DataType.
` is_decimal ` () | Check whether the data type is a decimal type.
` is_float ` () | Check whether the data type is a floating point type.
` is_integer ` ... | |
polar_functions/Expression_1_2.txt | Frame.fill_null ](../../dataframe/api/polars.DataFrame.fill_null.html)
* [ polars.DataFrame.filter ](../../dataframe/api/polars.DataFrame.filter.html)
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polar_functions/Function_4_3.txt | e/api/polars.DataFrame.slice.html)
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* [ polars.DataFrame.take_every ](../datafra... | |
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* [ polars.Series.top_k ](../series/api/polars.Series.top_k.html)
* [ polars.Series.unique ](../series/api/polars.Series.unique.html)
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* [ polars.Series.zip_with ](../series/api/polars... | |
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polar_functions/input_output_21_24.txt | ns ](../functions.html) __
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* [ polars.from_dict ](polars.from_dict.html)
* [ polars.from_dicts ](polars.from_dicts.html)
* [ polars.from_numpy ](polars.from_numpy.html)
* [ polars.from_pandas ... | |
polar_functions/DataType_21_12.txt | [ polars.Series.str.split ](../series/api/polars.Series.str.split.html)
* [ polars.Series.str.split_exact ](../series/api/polars.Series.str.split_exact.html)
* [ polars.Series.str.splitn ](../series/api/polars.Series.str.splitn.html)
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polar_functions/Expression_23_22.txt | .html)
* [ polars.Expr.dt.year ](polars.Expr.dt.year.html)
* [ Window ](../window.html) __
* [ polars.Expr.over ](polars.Expr.over.html)
* [ polars.Expr.rolling ](polars.Expr.rolling.html)
* [ Selectors ](../../selectors.html)
* [ Functions ](../../functions.html) __
* [ polars.from_arrow... | |
polar_functions/LazyFrame_73_6.txt | * [ polars.Series.arr.n_unique ](../../series/api/polars.Series.arr.n_unique.html)
* [ polars.Series.arr.var ](../../series/api/polars.Series.arr.var.html)
* [ polars.Series.arr.all ](../../series/api/polars.Series.arr.all.html)
* [ polars.Series.arr.any ](../../series/api/polars.Series.arr.any.html... | |
polar_functions/input_output_34_19.txt | essions/api/polars.Expr.list.mean.html)
* [ polars.Expr.list.median ](../expressions/api/polars.Expr.list.median.html)
* [ polars.Expr.list.min ](../expressions/api/polars.Expr.list.min.html)
* [ polars.Expr.list.reverse ](../expressions/api/polars.Expr.list.reverse.html)
* [ polars.Expr.list.sa... | |
polar_functions/Expression_20_3.txt | /dataframe/api/polars.DataFrame.set_sorted.html)
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* [ polars.DataFrame.shift_and_fill ](../../dataframe/api/polars.DataFrame.shift_and_fill.html)
* [ polars.DataFrame.shrink_to_fit ](../../dataframe/api/polars.DataFrame.shrin... | |
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