BigQuery ML を使用した ML モデルの作成: チャレンジラボ のレビュー

40805 件のレビュー

kumar vivek · 約1年前にレビュー済み

Britto Amanda · 約1年前にレビュー済み

Chalakkal Sijo Jose · 約1年前にレビュー済み

buggy

Juay Joseph · 約1年前にレビュー済み

Díaz Susana · 約1年前にレビュー済み

Dasgupta Shivaji · 約1年前にレビュー済み

Malhas Mehdi · 約1年前にレビュー済み

Viyalan Sivakumar · 約1年前にレビュー済み

kushwaha krishna · 約1年前にレビュー済み

Done...

Merino Miguel · 約1年前にレビュー済み

Kushwaha Krishna · 約1年前にレビュー済み

Kushwaha Krishna · 約1年前にレビュー済み

Harple Travis · 約1年前にレビュー済み

Malhas Mehdi · 約1年前にレビュー済み

Dysen Alexander · 約1年前にレビュー済み

Gretkowski Andrew · 約1年前にレビュー済み

Unclear language. Also the instruction itself. Lack the details. I've lost several hours on trying to guess what is wrong and FAILED. Misleading parts of the instructions: - "Also you have to specify the model type as binary logistic regression... Use the model type as linear regression model" - "create a dataset with the dataset ID 'bq_dataset' ... Create a model ... in the precreated dataset 'bqml_dataset'"... with each attempt I was trying to create my model in each of these databases... It is not said which day partitions should be used for training when there are lots of them. And for evaluation. Evaluation by users, not explicitly said which column it is. userId and visitorId columns are always NULL. Google analytics is not known to every user, and it is not mentioned as a prerequisite for this exercise. That's why it's important to clearly describe the columns to be used. Or maybe the error messages could be more helpful. Now they say "create a model... in dataset"... and it's created but the check fails. Sometimes checking progress shows failure for some time, and after some time returns success without changing anything.

Chojnowski Wojciech · 約1年前にレビュー済み

Prasetya Aldhitya · 約1年前にレビュー済み

task 4 always give me errors. Needs further instructions even though I have an output

Ls Nikos · 約1年前にレビュー済み

Sometimes checking progress shows failure for some time, and after some time returns success without changing anything. You often ask to create a dataset e.g. 'bq_dataset' and then ask to create a model in different but similar dataset e.g. 'bqml_dataset'. It's misleading. Often it's not directly shown where the data is located (Google analytics tables) or not said which day partitions should be used for training when there are lots of them. This task assumes good knowledge of Google Analytics, but it's not introduced earlier... and it's not fair in my opinion.

Chojnowski Wojciech · 約1年前にレビュー済み

It was good but a bit repetived, i would like to create a model in a new dataset, maybe something simple like a iris datset or the housing dataset and leet the user chose his features

Ortiz Antonio · 約1年前にレビュー済み

Yordan Lonnie · 約1年前にレビュー済み

Maruoka Takahide · 約1年前にレビュー済み

Sinha Divya · 約1年前にレビュー済み

Adan Beatriz · 約1年前にレビュー済み

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