For example: http://neupy.com/modules/generated/neupy.layers.Convolution.html#neupy.layers.Convolution

Is your feature request related to a problem? Please describe.
When we get predictions we want to write it to storage sink. To contribute a custom storage sink.

Step 1:
I would like you to extend this class
https://github.com/AICoE/log-anomaly-detector/blob/1e25ca878981ece74866be4b8df870d041a61842/anomaly_detector/storage/storage_sink.py#L5-L15

Step 2:
create another function

I'm don't understand why is this error?

my code:

iris = pd.read_csv('Iris.csv')
dataset = iris.drop(['Species','Id'],axis = 1)
from sklearn.preprocessing import StandardScaler

standard = StandardScaler()
cleanDataSet = standard.fit_transform(dataset)
cleanDataSet = pd.DataFrame(cleanDataSet).dropna()

som = SOM(10, 10)  # initialize the SOM
som.fit(cleanDataSet.to_numpy(), 10

(Same issue than in Newspeak, see https://groups.google.com/forum/#!msg/newspeaklanguage/PJeOLjxq_yA/ND3Jel_nAQAJ)

As per Newspeak spec, a call to a primary factory method should return a new instance of a given class. Sometimes it doesn't, as in:

class WhatDoesNewReturn = (
  true ifTrue: [ ^ nil ].
)()

where a call to WhatDoesNewReturn new will return nil instead of an i

I see in the FILE_FORMATS.md file that there are descriptions of the header information of each type of binary file.

Can we expand this to clearly specify the order in which the corresponding arrays (SOMs, neurons, transforms etc) are written to this files? Although that are example codes that show examples of reading these they can be a little difficult to follow and transplant into other c