Open alvarobartt opened 6 years ago
Maybe wider data-range from stock needed, the actual range is from the last 3 years until today:
actual_date = dt.date.today()
past_date = actual_date - dt.timedelta(days=365 * 3)
actual_date = actual_date.strftime("%Y-%m-%d")
past_date = past_date.strftime("%Y-%m-%d")
Maybe we need to retrieve the dataset from the last 5 years:
dt.timedelta(days=365 * 5)
or up to the 10 last ones:
dt.timedelta(days=365 * 10)
Depending on the prediction algorithms implemented.
In your code on Main.py, you have: "from Tweet import Tweet", what is this Tweet? Is it a module we need to install?
Hi @harshilvarsani, no, Tweet is a python class you need to have in the same directory as the main.py file. You can see Tweet class file here.
So can I run the class on the same file? I.e. in the main.py file? If so, where do I run it as the "from Tweet import Tweet line is not working for me.
It says "tweet module not found"
On 16 Mar 2019 19:11, Álvaro Bartolomé del Canto notifications@github.com wrote:
Hi @harshilvarsanihttps://github.com/harshilvarsani, no, Tweet is a python class you need to have in the same directory as the main.py file. You can see Tweet class file herehttps://github.com/alvarob96/twitter-stock-recommendation/blob/master/Tweet.py.
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I have one python file - same as the main.py file you have. But with this I get the following error: ModuleNotFoundError: No module named 'Tweet' This is because of the command: from Tweet import tweet. Any ideas on how I can tackle this issue? I have added the Tweet class code into the main.py code.
We need to add new and different prediction algorithms from sklearn as DecisionTree, SVM, etc. to make more reliable predictions based on their score for every dataset