I want to determine the size of training data ($m$) when I know the parameters $VC(H)$, $δ$ and $e$. As I know the $VC$ bound satisfy this equation:
$$ \mathrm{error}_{\mathrm{true}}(h) \le \mathrm{error}_{\mathrm{train}}(h) + \sqrt\frac{VC(H) \times \ln\left(\frac{2m}{VC(H)} + 1\right) + \ln(4δ)}m $$
but how can I determine the size of training data ($m$) if I know the others?