From edb58c0fd8f74099f62736596fcceafd2356d30e Mon Sep 17 00:00:00 2001 From: yagudin Date: Tue, 1 Jun 2021 19:40:07 +0300 Subject: [PATCH] Fix typos h/t Alexey --- strmlt.py | 12 +++++++----- 1 file changed, 7 insertions(+), 5 deletions(-) diff --git a/strmlt.py b/strmlt.py index 07a1068..a6c6534 100644 --- a/strmlt.py +++ b/strmlt.py @@ -17,10 +17,10 @@ if __name__ == "__main__": st.sidebar.header("Welcome!") st.sidebar.write("Good calibration is vital for good judgemental forecasting. " - "When a calibrated forecaster predicts 70% on 10 quesions, we actually expect " + "When a calibrated forecaster predicts 70% on 10 questions, we actually expect " "around 7 of these to resolve positively. Unfortunately, there is " "no easy way to see which fraction of our 70% forecasts resolves " - "positively on Good Judgement Open. I hence made this web app.") + "positively on Good Judgement Open. Hence, I made this web app.") st.sidebar.subheader("On cURL") @@ -31,8 +31,8 @@ if __name__ == "__main__": st.sidebar.write(""" 1. Go to e.g [gjopen.com/questions](gjopen.com/questions) in a new tab in Chrome or in Firefox. 2. Press `Ctrl + Shift + I`, and then navigate to the "Network" tab. - 3. Click on “Reload”, or reload the page. - 4. Right click on the first request, which loads the "questions" document. Click Copy, then "copy as cURL". Paste the results here. + 3. Click on “Reload” or reload the page. + 4. Right click on the first request which loads the "questions" document. Click Copy, then "copy as cURL". Paste the results here. """) st.sidebar.write("Nuño Sempere made [video instructions](https://www.youtube.com/watch?v=_G3FNzYNPCs) for an earlier version of the web app.") @@ -48,7 +48,7 @@ if __name__ == "__main__": st.sidebar.subheader("Authorship and acknowledgments") - st.sidebar.write("This web app was built by [Misha Yagudin](mailto:mike.yagudin@gmail.com). I am grateful to [Nuño Sempere](https://nunosempere.github.io/) for providing feedback. All errors are my own.") + st.sidebar.write("This web app was built by [Misha Yagudin](https://twitter.com/mishayagudin). I am grateful to [Nuño Sempere](https://nunosempere.github.io/) for providing feedback.") # --- @@ -171,3 +171,5 @@ if __name__ == "__main__": # overconf = overconfidence(y_true, y_pred) # st.write(f"Your over/under- confidence score is {overconf:.2f}.") + + # get_resolutions(list(range(, platform_url, headers, cookies)