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on 02-Feb-2026 (Mon)

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Annotation 7794283384076

#feature-engineering #lstm #recurrent-neural-networks #rnn
relative measure of time gap compared to contact's recency. For instance, an average time gap between donations of 300 days, and recency of 150 days, gives a ratio of 0.5. A ratio close to 1 indicates perfect timing for a solicitation. A value above 1 indicates the donor might have churned.
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Several students (and the instructor) included a relative measure of time gap compared to contact's recency. For instance, an average time gap between donations of 300 days, and recency of 150 days, gives a ratio of 0.5. A ratio close to 1 indicates perfect timing for a solicitation. A value above 1 indicates the donor might have churned.

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Flashcard 7794284956940

Tags
#feature-engineering #lstm #recurrent-neural-networks #rnn
Question
Several students (and the instructor) included a relative measure of time gap compared to contact's recency. For instance, an [...] between donations of 300 days, and recency of 150 days, gives a ratio of 0.5. A ratio close to 1 indicates perfect timing for a solicitation. A value above 1 indicates the donor might have churned.
Answer
average time gap

statusnot learnedmeasured difficulty37% [default]last interval [days]               
repetition number in this series0memorised on               scheduled repetition               
scheduled repetition interval               last repetition or drill

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Several students (and the instructor) included a relative measure of time gap compared to contact's recency. For instance, an average time gap between donations of 300 days, and recency of 150 days, gives a ratio of 0.5. A ratio close to 1 indicates perfect timing for a solicitation. A value above 1 indicates the donor might h

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Annotation 7794290199820

#deep-learning #keras #lstm #python #sequence
The forget gate and input gate are used in the updating of the internal state
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information to discard from the cell. Input Gate: Decides which values from the input to update the memory state. Output Gate: Decides what to output based on input and the memory of the cell. <span>The forget gate and input gate are used in the updating of the internal state. The output gate is a final limiter on what the cell actually outputs. <span>

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