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Both sides previous revisionPrevious revision | Last revisionBoth sides next revision | ||
data_mining:regression [2014/07/13 03:37] – [Normalengleichungen] phreazer | data_mining:regression [2019/02/10 17:12] – [Cost function] phreazer | ||
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==== Cost function ==== | ==== Cost function ==== | ||
- | + | $\displaystyle\min_{\theta_0, | |
- | $\text{minimize}_{\theta_0, | + | |
Vereinfachtes Problem: | Vereinfachtes Problem: | ||
- | $\text{minimize}_{\theta_0, | + | $\displaystyle\min_{\theta_0, |
$h_\theta(x^{(i)}) = \theta_0 +\theta_1x^{(i)}$ | $h_\theta(x^{(i)}) = \theta_0 +\theta_1x^{(i)}$ | ||
- | Cost function (Squared error cost function): | + | Cost function (Squared error cost function) |
$J(\theta_0, | $J(\theta_0, | ||
- | Goal: $\text{minimize}_{\theta_0, | + | Goal: $\displaystyle\min_{\theta_0, |
=== Functions (example with only $\theta_1$): | === Functions (example with only $\theta_1$): |