Resolving an Undefined Factor DataFrame in a DNN Stock Workflow

Summary

This Chinese-language forum post reports a NameError in a deep neural network stock strategy tutorial: the variable holding stacked factor data is undefined when downstream code tries to read its date range. The shown workflow expects that data frame to contain dates, instruments, and prediction labels. It uses the date range to query Chinese stock records, joins the results to the factor data, sorts by date and predicted label, and writes the merged data to a data source.

The post includes code context but no accepted fix, diagnosis, or evidence that a particular modification resolves the error. The immediate implication is that the factor data object must be created or assigned in an earlier step and be available in the current execution context before this section runs. The document does not establish whether the cause is a skipped notebook cell, a renamed variable, or a course-version mismatch, so readers must check the preceding workflow.

Key ideas

• The reported NameError occurs because the factor data frame is undefined at the point of use.
• The code expects date, instrument, and prediction-label fields in that data frame.
• The workflow queries stock records, joins them with factor data, sorts by date and prediction label, and writes the result.
• The post supplies no verified correction or evidence identifying the cause.

Tags

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.