sqlflow
sqlflow copied to clipboard
sql-machine-learning
Brings SQL and AI together.
document URL : https://github.com/sql-machine-learning/sqlflow/blob/develop/doc/run/workflow_mode.md step： Setup Kubernetes and Argo ```bash kubectl apply -n argo -f https://raw.githubusercontent.com/argoproj/argo/stable/manifests/install.yaml ``` this URL unable to recognize，Need to update to ```bash kubectl apply -n argo...
We'd love you to come and present SQL flow at our community meeting! http://bit.ly/argo-wf-cmty-mtng Or what about writing a guest blog post? https://blog.argoproj.io/ I think our community would be super...
**Description** run activepower clustering demo in tutorial recieve ' AttributeError: 'EmbeddingColumn' object has no attribute 'key'' demo in tutorial [activepower_clustering](https://sql-machine-learning.github.io/sqlflow/doc/tutorial/apsara2019/activepower_clustering/) I set mysql database locally with sql [script](https://github.com/sql-machine-learning/sqlflow/blob/develop/doc/tutorial/apsara2019/activepower_clustering/activepower.sql) so I...
As the discussion of #2494 , SQLFlow would be made a pure compiler. This requires we support `alisa` in Python as a prerequisite. - [x] Implement a `pyalisa` module based...
Will SQLFlow integrate with Flink in the future: Pre-process data with Flink and perform TensorFlow deep learning with SQL If the community has such a plan, our team can participate...
**Is your feature request related to a problem?** As described in the excellent documentation, executing inferences requires a destination table. Not requiring a destination table would help execute queries more...
We need to migrate alisa DB driver to python, so we can use it in alisa submitter.
The `docker build` command runs slow when releasing model definition to model zoo. Need to refine it for a better user experience.
**Description** iris_dnn 训练模型后并未输出 'accuracy'、'average_loss'、'loss'、'global_step' 等信息. **Reproduction Steps** 1. 打开 [sql-machine-learning](https://github.com/sql-machine-learning/sqlflow), 点击进入 [Quick Start](https://github.com/sql-machine-learning/sqlflow/blob/develop/doc/quick_start.md) 2. 点击进入 [SQLFlowPlayground On the Cloud](https://playground.sqlflow.tech/user/wangyuddd/tree?) 3. 点击进入 [iris-dnn.ipynb](https://playground.sqlflow.tech/user/wangyuddd/notebooks/iris-dnn.ipynb) 4. 执行训练语句: ``` %%sqlflow SELECT * FROM iris.train...
