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

Sacchi Lorenzo · 1年以上前にレビュー済み

Azcárate Iker · 1年以上前にレビュー済み

Arnas Alcalá Manuel Angel · 1年以上前にレビュー済み

Malhas Mehdi · 1年以上前にレビュー済み

kumar vivek · 1年以上前にレビュー済み

Britto Amanda · 1年以上前にレビュー済み

Chalakkal Sijo Jose · 1年以上前にレビュー済み

buggy

Juay Joseph · 1年以上前にレビュー済み

Díaz Susana · 1年以上前にレビュー済み

Dasgupta Shivaji · 1年以上前にレビュー済み

Malhas Mehdi · 1年以上前にレビュー済み

Viyalan Sivakumar · 1年以上前にレビュー済み

kushwaha krishna · 1年以上前にレビュー済み

Done...

Merino Miguel · 1年以上前にレビュー済み

Kushwaha Krishna · 1年以上前にレビュー済み

Kushwaha Krishna · 1年以上前にレビュー済み

Harple Travis · 1年以上前にレビュー済み

Malhas Mehdi · 1年以上前にレビュー済み

Dysen Alexander · 1年以上前にレビュー済み

Gretkowski Andrew · 1年以上前にレビュー済み

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 · 1年以上前にレビュー済み

Prasetya Aldhitya · 1年以上前にレビュー済み

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

Ls Nikos · 1年以上前にレビュー済み

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 · 1年以上前にレビュー済み

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 · 1年以上前にレビュー済み