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dependabot[bot] fd02530fe5 Bump tensorflow from 1.15.2 to 2.6.4

Bumps [tensorflow](https://github.com/tensorflow/tensorflow) from 1.15.2 to 2.6.4.
- [Release notes](https://github.com/tensorflow/tensorflow/releases)
- [Changelog](https://github.com/tensorflow/tensorflow/blob/master/RELEASE.md)
- [Commits](https://github.com/tensorflow/tensorflow/compare/v1.15.2...v2.6.4)

---
updated-dependencies:
- dependency-name: tensorflow
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <support@github.com>

2022-05-24 17:20:03 +00:00

.idea

robust, allow unseen features & labels

2020-07-10 15:21:27 +08:00

data

update

2020-05-02 13:56:24 +08:00

.gitignore

update

2020-05-02 13:56:24 +08:00

compare.sh

update

2020-07-01 10:42:55 +08:00

main.py

update

2020-05-02 13:25:10 +08:00

model_tensorflow.py

add files

2020-04-30 00:41:27 +08:00

README.md

update

2020-05-02 22:03:56 +08:00

requirements.txt

Bump tensorflow from 1.15.2 to 2.6.4

2022-05-24 17:20:03 +00:00

rf.py

update

2020-07-01 10:42:55 +08:00

serve_lstm.py

update, add random forest

2020-06-24 22:55:42 +08:00

serve.py

robust, allow unseen features & labels

2020-07-10 15:21:27 +08:00

train.py

update

2020-05-02 16:31:23 +08:00

yao-optimizer.iml

add files

2020-04-29 18:35:22 +08:00

README.md

Feed

/feed?job=lstm&seq=1&value=3

train

/train?job=lstm

predict

/predict?job=lstm&seq=2

Make Data

cat data/stock_data.csv | awk -F',' '{print NR "," $5 }' > data/stock.csv

Ref

Python Keras + LSTM 进行单变量时间序列预测

How to Seed State for LSTMs for Time Series Forecasting in Python

单维时间序列预测

Python中利用LSTM模型进行时间序列预测分析

stock_predict_with_LSTM