ValueError: could not broadcast input array from shape (2) into shape (7,1,5)

[hn2]

If you have any questions, feel free to create an issue with the tag [question].
If you wish to suggest an enhancement or feature request, add the tag [feature request].
If you are submitting a bug report, please fill in the following details.

Describe the bug
I am trying to run stable_baseline alogs such as ppo1, ddpg and get this error:
ValueError: could not broadcast input array from shape (2) into shape (7,1,5)

Code example

action will be the portfolio weights from 0 to 1 for each asset

    self.action_space = gym.spaces.Box(-1, 1, shape=(len(instruments) + 1,), dtype=np.float32)  # include cash

    # get the observation space from the data min and max
    self.observation_space = gym.spaces.Box(low=-np.inf, high=np.inf, shape=(len(instruments), window_length, history.shape[-1]), dtype=np.float32)

I tried using obs.reshape(-1), obs.flatten(), obs.ravel() nothing works. Also tried CnnPolicy onstead of MlpPolicy and got:

ValueError: Negative dimension size caused by subtracting 8 from 7 for 'model/c1/Conv2D' (op: 'Conv2D') with input shapes: [?,7,1,5], [8,8,5,32].

System Info
Describe the characteristic of your environment:
*library was installed using:
git clone https://github.com/hill-a/stable-baselines.git
cd stable-baselines
pip install -e .

• GPU models and configuration: no gpu, cpu only
• Python 3.7.2
• tensorflow 1.12.0
• stable-baselines 2.4.1

Additional context
Add any other context about the problem here.

[araffin]

Closing because main discussion is happening in the original issue #242 .