How to read the generated code and results
Code generation shows how many files and Python modules were written and lets you open each one. Code execution shows the graphs, result tables and sample outputs the run saved, each with its file path.
In the sample project the code step reports 25 files and 23 Python modules, and the run saves 14 graphs, 13 result tables and 6 sample outputs.
Steps
- 1
Read the summary tiles
Files generated, Python modules, whether main.py has a run-all screen, and datasets wired in.
- 2
Open the files
A file list on the left and a viewer on the right. Press Open to see any file. Typical files: data loader, baselines, the proposed method, metrics, plots and a pipeline file.
- 3
Run the code
Press Next: Code execution. The run happens on your own computer with Python. Progress and elapsed time are shown.
- 4
Look at the results
Each result card shows a graph or table and its file path. Click a graph to enlarge it.
- 5
Check the numbers make sense
Compare with what you expect from your method. Weak results are reported as they are; EasySeer does not invent numbers.
Tips
Read the baseline files as well as the proposed method
Open the run log if a result looks odd
Common mistakes
- Skipping the code and going straight to the manuscript
- Assuming a graph is right because it looks tidy
Questions
Where does the code run?
On your own computer, with Python 3.
Can I edit the code?
Yes, before the Manuscript step starts. Open the project folder, edit any file and re-run. After the Manuscript step starts, the inputs and folder are locked.
Where are the graphs?
In code/results, each graph with a matching CSV. Click a graph in the gallery to enlarge it.
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Last updated 2026-11-09. EasySeer is AI. It creates only an initial draft from the novel concept you provide, and it is designed to follow academic ethical guidelines.