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add jaeger support, link hot container & req span (#840)
* add jaeger support, link hot container & req span * adds jaeger support now with FN_JAEGER_URL, there's a simple tutorial in the operating/metrics.md file now and it's pretty easy to get up and running. * links a hot request span to a hot container span. when we change this to sample at a lower ratio we'll need to finagle the hot container span to always sample or something, otherwise we'll hide that info. at least, since we're sampling at 100% for now if this is flipped on, can see freeze/unfreeze etc. if they hit. this is useful for debugging. note that zipkin's exporter does not follow the link at all, hence jaeger... and they're backed by the Cloud Empire now (CNCF) so we'll probably use it anyway. * vendor: add thrift for jaeger
This commit is contained in:
Reed Allman
354
vendor/google.golang.org/api/prediction/v1.2/prediction-api.json
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354
vendor/google.golang.org/api/prediction/v1.2/prediction-api.json
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{
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"auth": {
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"oauth2": {
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"scopes": {
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"https://www.googleapis.com/auth/devstorage.full_control": {
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"description": "Manage your data and permissions in Google Cloud Storage"
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},
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"https://www.googleapis.com/auth/devstorage.read_only": {
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"description": "View your data in Google Cloud Storage"
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},
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"https://www.googleapis.com/auth/devstorage.read_write": {
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"description": "Manage your data in Google Cloud Storage"
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},
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"https://www.googleapis.com/auth/prediction": {
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"description": "Manage your data in the Google Prediction API"
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}
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}
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}
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},
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"basePath": "/prediction/v1.2/",
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"baseUrl": "https://www.googleapis.com/prediction/v1.2/",
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"batchPath": "batch/prediction/v1.2",
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"description": "Lets you access a cloud hosted machine learning service that makes it easy to build smart apps",
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"discoveryVersion": "v1",
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"documentationLink": "https://developers.google.com/prediction/docs/developer-guide",
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"etag": "\"-iA1DTNe4s-I6JZXPt1t1Ypy8IU/y6-9S-Lx_Izdv2KpEj-E5-XRo7s\"",
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"icons": {
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"x16": "https://www.google.com/images/icons/feature/predictionapi-16.png",
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"x32": "https://www.google.com/images/icons/feature/predictionapi-32.png"
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},
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"id": "prediction:v1.2",
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"kind": "discovery#restDescription",
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"methods": {
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"predict": {
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"description": "Submit data and request a prediction",
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"httpMethod": "POST",
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"id": "prediction.predict",
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"parameterOrder": [
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"data"
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],
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"parameters": {
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"data": {
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"description": "mybucket%2Fmydata resource in Google Storage",
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"location": "path",
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"required": true,
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"type": "string"
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}
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},
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"path": "training/{data}/predict",
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"request": {
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"$ref": "Input"
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},
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"response": {
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"$ref": "Output"
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},
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"scopes": [
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"https://www.googleapis.com/auth/prediction"
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]
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}
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},
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"name": "prediction",
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"ownerDomain": "google.com",
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"ownerName": "Google",
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"parameters": {
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"alt": {
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"default": "json",
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"description": "Data format for the response.",
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"enum": [
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"json"
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],
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"enumDescriptions": [
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"Responses with Content-Type of application/json"
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],
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"location": "query",
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"type": "string"
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},
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"fields": {
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"description": "Selector specifying which fields to include in a partial response.",
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"location": "query",
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"type": "string"
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},
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"key": {
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"description": "API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token.",
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"location": "query",
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"type": "string"
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},
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"oauth_token": {
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"description": "OAuth 2.0 token for the current user.",
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"location": "query",
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"type": "string"
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},
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"prettyPrint": {
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"default": "true",
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"description": "Returns response with indentations and line breaks.",
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"location": "query",
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"type": "boolean"
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},
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"quotaUser": {
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"description": "Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters. Overrides userIp if both are provided.",
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"location": "query",
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"type": "string"
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},
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"userIp": {
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"description": "IP address of the site where the request originates. Use this if you want to enforce per-user limits.",
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"location": "query",
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"type": "string"
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}
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},
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"protocol": "rest",
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"resources": {
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"hostedmodels": {
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"methods": {
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"predict": {
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"description": "Submit input and request an output against a hosted model",
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"httpMethod": "POST",
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"id": "prediction.hostedmodels.predict",
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"parameterOrder": [
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"hostedModelName"
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],
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"parameters": {
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"hostedModelName": {
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"description": "The name of a hosted model",
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"location": "path",
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"required": true,
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"type": "string"
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}
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},
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"path": "hostedmodels/{hostedModelName}/predict",
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"request": {
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"$ref": "Input"
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},
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"response": {
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"$ref": "Output"
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},
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"scopes": [
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"https://www.googleapis.com/auth/prediction"
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]
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}
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}
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},
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"training": {
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"methods": {
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"delete": {
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"description": "Delete a trained model",
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"httpMethod": "DELETE",
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"id": "prediction.training.delete",
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"parameterOrder": [
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"data"
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],
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"parameters": {
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"data": {
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"description": "mybucket/mydata resource in Google Storage",
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"location": "path",
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"required": true,
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"type": "string"
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}
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},
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"path": "training/{data}",
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"scopes": [
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"https://www.googleapis.com/auth/prediction"
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]
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},
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"get": {
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"description": "Check training status of your model",
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"httpMethod": "GET",
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"id": "prediction.training.get",
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"parameterOrder": [
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"data"
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],
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"parameters": {
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"data": {
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"description": "mybucket/mydata resource in Google Storage",
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"location": "path",
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"required": true,
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"type": "string"
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}
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},
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"path": "training/{data}",
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"response": {
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"$ref": "Training"
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},
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"scopes": [
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"https://www.googleapis.com/auth/prediction"
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]
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},
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"insert": {
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"description": "Begin training your model",
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"httpMethod": "POST",
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"id": "prediction.training.insert",
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"parameters": {
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"data": {
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"description": "mybucket/mydata resource in Google Storage",
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"location": "query",
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"type": "string"
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}
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},
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"path": "training",
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"request": {
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"$ref": "Training"
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},
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"response": {
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"$ref": "Training"
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},
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"scopes": [
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"https://www.googleapis.com/auth/devstorage.full_control",
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"https://www.googleapis.com/auth/devstorage.read_only",
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"https://www.googleapis.com/auth/devstorage.read_write",
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"https://www.googleapis.com/auth/prediction"
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]
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},
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"update": {
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"description": "Add new data to a trained model",
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"httpMethod": "PUT",
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"id": "prediction.training.update",
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"parameterOrder": [
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"data"
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],
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"parameters": {
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"data": {
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"description": "mybucket/mydata resource in Google Storage",
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"location": "path",
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"required": true,
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"type": "string"
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}
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},
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"path": "training/{data}",
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"request": {
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"$ref": "Update"
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},
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"response": {
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"$ref": "Training"
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},
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"scopes": [
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"https://www.googleapis.com/auth/prediction"
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]
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}
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}
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}
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},
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"revision": "20160511",
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"rootUrl": "https://www.googleapis.com/",
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"schemas": {
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"Input": {
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"id": "Input",
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"properties": {
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"input": {
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"properties": {
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"csvInstance": {
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"items": {
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"type": "any"
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},
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"type": "array"
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}
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},
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"type": "object"
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}
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},
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"type": "object"
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},
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"Output": {
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"id": "Output",
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"properties": {
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"id": {
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"type": "string"
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},
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"kind": {
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"default": "prediction#output",
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"type": "string"
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},
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"outputLabel": {
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"type": "string"
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},
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"outputMulti": {
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"items": {
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"properties": {
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"label": {
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"type": "string"
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},
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"score": {
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"format": "double",
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"type": "number"
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}
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},
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"type": "object"
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},
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"type": "array"
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},
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"outputValue": {
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"format": "double",
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"type": "number"
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},
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"selfLink": {
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"type": "string"
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}
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},
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"type": "object"
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},
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"Training": {
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"id": "Training",
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"properties": {
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"id": {
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"type": "string"
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},
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"kind": {
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"default": "prediction#training",
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"type": "string"
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},
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"modelInfo": {
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"properties": {
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"classificationAccuracy": {
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"format": "double",
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"type": "number"
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},
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"meanSquaredError": {
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"format": "double",
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"type": "number"
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},
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"modelType": {
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"type": "string"
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}
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},
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"type": "object"
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},
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"selfLink": {
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"type": "string"
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},
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"trainingStatus": {
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"type": "string"
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}
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},
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"type": "object"
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},
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"Update": {
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"id": "Update",
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"properties": {
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"classLabel": {
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"description": "The true class label of this instance",
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"type": "string"
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},
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"csvInstance": {
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"description": "The input features for this instance",
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"items": {
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"type": "any"
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},
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"type": "array"
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}
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},
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"type": "object"
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}
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},
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"servicePath": "prediction/v1.2/",
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"title": "Prediction API",
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"version": "v1.2"
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}
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1135
vendor/google.golang.org/api/prediction/v1.2/prediction-gen.go
generated
vendored
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1135
vendor/google.golang.org/api/prediction/v1.2/prediction-gen.go
generated
vendored
Normal file
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