agentMET4FOF icon indicating copy to clipboard operation
agentMET4FOF copied to clipboard

Metrological Agent-based system (MET4FOF project)

Results 45 agentMET4FOF issues
Sort by recently updated
recently updated
newest added

The send_plot funciton converts matplotlib figures into plotly or image base64 string, there is an option to directly send plotly figures as well, but we should test and implement it...

``` from agentMET4FOF.agents import AgentMET4FOF, AgentNetwork, MonitorAgent from agentMET4FOF.streams import SineGenerator import torch.nn as nn import torch.nn.functional as F class Net(nn.Module): def __init__(self): super(Net, self).__init__() self.conv1 = nn.Conv2d(3, 6, 5)...

```python class Trainer(AgentMET4FOF): def init_parameters(self): r = random.randrange(10, 20) a = {'x': [1, 2, 3], 'y': r} # print(a['x']) a = pd.DataFrame(a['x']) #print(a.shape) a = np.array(a) #print(a.shape) X_train = a.reshape(a.shape[0],...

- We have this partially with the ZEMA EMC examples already - Need to clean up and bring it into the latest ML Experiment form

In #28 we wrote down some links and now have to find out, how to make use of D-SI.