From 4aa8fcc4067d197ec2b4bf7ea1c4c5df751d47ef Mon Sep 17 00:00:00 2001 From: fjosw Date: Mon, 7 Mar 2022 12:00:25 +0000 Subject: [PATCH] Documentation updated --- docs/pyerrors/fits.html | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/docs/pyerrors/fits.html b/docs/pyerrors/fits.html index 44cab416..c8280931 100644 --- a/docs/pyerrors/fits.html +++ b/docs/pyerrors/fits.html @@ -353,7 +353,7 @@ new_jac = np.concatenate((fused_row1, fused_row2), axis=1) A = W @ new_jac - P_phi = A @ np.linalg.inv(A.T @ A) @ A.T + P_phi = A @ np.linalg.pinv(A.T @ A) @ A.T expected_chisquare = np.trace((np.identity(P_phi.shape[0]) - P_phi) @ W @ cov @ W) if expected_chisquare <= 0.0: warnings.warn("Negative expected_chisquare.", RuntimeWarning) @@ -632,7 +632,7 @@ W = np.diag(1 / np.asarray(dy_f)) cov = covariance(y) A = W @ jacobian(func)(fit_result.x, x) - P_phi = A @ np.linalg.inv(A.T @ A) @ A.T + P_phi = A @ np.linalg.pinv(A.T @ A) @ A.T expected_chisquare = np.trace((np.identity(x.shape[-1]) - P_phi) @ W @ cov @ W) output.chisquare_by_expected_chisquare = chisquare / expected_chisquare if not silent: @@ -1216,7 +1216,7 @@ If True, a quantile-quantile plot of the fit result is generated (default False) new_jac = np.concatenate((fused_row1, fused_row2), axis=1) A = W @ new_jac - P_phi = A @ np.linalg.inv(A.T @ A) @ A.T + P_phi = A @ np.linalg.pinv(A.T @ A) @ A.T expected_chisquare = np.trace((np.identity(P_phi.shape[0]) - P_phi) @ W @ cov @ W) if expected_chisquare <= 0.0: warnings.warn("Negative expected_chisquare.", RuntimeWarning)